{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Vanilla GAN\n",
        "\n",
        "Originally proposed by [Goodfellow et al.](https://arxiv.org/abs/1406.2661) is their work titled Generative Adversarial Networks. This network uses a basic implementation where generator and discriminator models are MLPs.\n",
        "\n",
        "This notebook trains both networks using ADAM optimizer to play the minimax game. We showcase the effectiveness using MNIST digit generation\n"
      ],
      "metadata": {
        "id": "8Wu7nejc_Tws"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load Libraries"
      ],
      "metadata": {
        "id": "UNO4d4b9_s-T"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "HX8BYWdqVl-7"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import math\n",
        "\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "\n",
        "from torchvision import datasets\n",
        "from torch.autograd import Variable\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "from torchvision.utils import save_image\n",
        "import torchvision.transforms as transforms"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Check GPU"
      ],
      "metadata": {
        "id": "tH_z01GAAt-G"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "182g95YcYCGy"
      },
      "outputs": [],
      "source": [
        "CUDA = True if torch.cuda.is_available() else False"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Set Parameters"
      ],
      "metadata": {
        "id": "7xJMrGcFAyZr"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "PyGto4FIZlwr"
      },
      "outputs": [],
      "source": [
        "NUM_CHANNELS = 1\n",
        "IMG_DIM = 28\n",
        "BATCH_SIZE = 64\n",
        "Z_DIM = 256 # Noise Vector Dimension\n",
        "N_EPOCHS = 200\n",
        "SAMPLE_INTERVAL = 400\n",
        "IMG_SHAPE = (NUM_CHANNELS,IMG_DIM, IMG_DIM)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Get MNIST Dataset"
      ],
      "metadata": {
        "id": "9dV6Gbr5A3vT"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "J3rxlIl5X9HR"
      },
      "outputs": [],
      "source": [
        "# create directory\n",
        "os.makedirs(\"images\", exist_ok=True)\n",
        "\n",
        "# download dataset\n",
        "dataloader = torch.utils.data.DataLoader(\n",
        "    datasets.MNIST(\n",
        "        \"data/mnist\",\n",
        "        train=True,\n",
        "        download=True,\n",
        "        transform=transforms.Compose(\n",
        "            [transforms.Resize(IMG_DIM), transforms.ToTensor(), transforms.Normalize([0.5], [0.5])]\n",
        "        ),\n",
        "    ),\n",
        "    batch_size=BATCH_SIZE,\n",
        "    shuffle=True,\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Discriminator Model"
      ],
      "metadata": {
        "id": "3w4XBi0mBZTS"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "xDQk_Rm1Y-jb"
      },
      "outputs": [],
      "source": [
        "class Discriminator(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(Discriminator, self).__init__()\n",
        "\n",
        "        self.model = nn.Sequential(\n",
        "            nn.Linear(int(np.prod(IMG_SHAPE)), 512),\n",
        "            nn.LeakyReLU(0.2, inplace=True),\n",
        "            nn.Linear(512, 256),\n",
        "            nn.LeakyReLU(0.2, inplace=True),\n",
        "            nn.Linear(256, 1),\n",
        "            nn.Sigmoid(),\n",
        "        )\n",
        "\n",
        "    def forward(self, img):\n",
        "        img_flat = img.view(img.size(0), -1)\n",
        "        validity = self.model(img_flat)\n",
        "\n",
        "        return validity"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Generator Model"
      ],
      "metadata": {
        "id": "oFtyJ2T2BDeI"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "8PqtzxFUX9EI"
      },
      "outputs": [],
      "source": [
        "class Generator(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(Generator, self).__init__()\n",
        "\n",
        "        # Repeating Parameterised Generator Block of Layers\n",
        "        def gen_block(in_feat_shape, out_feat_shape):\n",
        "            layers = [nn.Linear(in_feat_shape, out_feat_shape)]\n",
        "            layers.append(nn.BatchNorm1d(out_feat_shape, 0.8))\n",
        "            layers.append(nn.LeakyReLU(0.2, inplace=True))\n",
        "            return layers\n",
        "\n",
        "        # Model Setup\n",
        "        self.model = nn.Sequential(\n",
        "            *gen_block(Z_DIM, 256),\n",
        "            *gen_block(256, 256),\n",
        "            *gen_block(256, 512),\n",
        "            *gen_block(512, 1024),\n",
        "            nn.Linear(1024, int(np.prod(IMG_SHAPE))),\n",
        "            nn.Tanh()\n",
        "        )\n",
        "\n",
        "    def forward(self, z):\n",
        "        img = self.model(z)\n",
        "        img = img.view(img.size(0), *IMG_SHAPE)\n",
        "        return img"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Attach Loss & Optimizers"
      ],
      "metadata": {
        "id": "TWmbjTW7Be9P"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "XAc2yghBZO58"
      },
      "outputs": [],
      "source": [
        "# Initialize generator and discriminator\n",
        "generator = Generator()\n",
        "discriminator = Discriminator()\n",
        "\n",
        "# Loss function\n",
        "adversarial_loss = torch.nn.BCELoss()\n",
        "\n",
        "# Optimizers\n",
        "optimizer_G = torch.optim.Adam(generator.parameters(), lr=0.0002, betas=(0.5, 0.999))\n",
        "optimizer_D = torch.optim.Adam(discriminator.parameters(), lr=0.0002, betas=(0.5, 0.999))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "SmFN7ZQ-aaLj"
      },
      "outputs": [],
      "source": [
        "if CUDA:\n",
        "  generator.cuda()\n",
        "  discriminator.cuda()\n",
        "  adversarial_loss.cuda()\n",
        "\n",
        "  Tensor = torch.cuda.FloatTensor\n",
        "else:\n",
        "  Tensor = torch.FloatTensor"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Train GAN"
      ],
      "metadata": {
        "id": "KS_znnwnB4E6"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zhKnwytratgy",
        "outputId": "ae5c631e-ec27-4957-d9a4-c426bea9bac8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "Epoch: 194/200-Batch\\h: 628/938--D.loss:0.3377,G.loss:1.7905\n",
            "Epoch: 194/200-Batch\\h: 629/938--D.loss:0.3871,G.loss:1.4324\n",
            "Epoch: 194/200-Batch\\h: 630/938--D.loss:0.3401,G.loss:1.6544\n",
            "Epoch: 194/200-Batch\\h: 631/938--D.loss:0.3443,G.loss:1.7614\n",
            "Epoch: 194/200-Batch\\h: 632/938--D.loss:0.3648,G.loss:1.8349\n",
            "Epoch: 194/200-Batch\\h: 633/938--D.loss:0.3647,G.loss:1.7287\n",
            "Epoch: 194/200-Batch\\h: 634/938--D.loss:0.3074,G.loss:1.5991\n",
            "Epoch: 194/200-Batch\\h: 635/938--D.loss:0.2957,G.loss:1.8384\n",
            "Epoch: 194/200-Batch\\h: 636/938--D.loss:0.3797,G.loss:2.0893\n",
            "Epoch: 194/200-Batch\\h: 637/938--D.loss:0.3577,G.loss:1.5704\n",
            "Epoch: 194/200-Batch\\h: 638/938--D.loss:0.4256,G.loss:1.4087\n",
            "Epoch: 194/200-Batch\\h: 639/938--D.loss:0.3773,G.loss:2.2183\n",
            "Epoch: 194/200-Batch\\h: 640/938--D.loss:0.3881,G.loss:1.6336\n",
            "Epoch: 194/200-Batch\\h: 641/938--D.loss:0.3466,G.loss:1.3488\n",
            "Epoch: 194/200-Batch\\h: 642/938--D.loss:0.3101,G.loss:1.4910\n",
            "Epoch: 194/200-Batch\\h: 643/938--D.loss:0.4153,G.loss:2.3800\n",
            "Epoch: 194/200-Batch\\h: 644/938--D.loss:0.3248,G.loss:1.4345\n",
            "Epoch: 194/200-Batch\\h: 645/938--D.loss:0.3215,G.loss:1.5768\n",
            "Epoch: 194/200-Batch\\h: 646/938--D.loss:0.4440,G.loss:1.8803\n",
            "Epoch: 194/200-Batch\\h: 647/938--D.loss:0.3170,G.loss:1.9184\n",
            "Epoch: 194/200-Batch\\h: 648/938--D.loss:0.3743,G.loss:1.5603\n",
            "Epoch: 194/200-Batch\\h: 649/938--D.loss:0.3714,G.loss:1.5313\n",
            "Epoch: 194/200-Batch\\h: 650/938--D.loss:0.3836,G.loss:1.4023\n",
            "Epoch: 194/200-Batch\\h: 651/938--D.loss:0.3280,G.loss:1.8260\n",
            "Epoch: 194/200-Batch\\h: 652/938--D.loss:0.3263,G.loss:1.7829\n",
            "Epoch: 194/200-Batch\\h: 653/938--D.loss:0.3127,G.loss:1.7361\n",
            "Epoch: 194/200-Batch\\h: 654/938--D.loss:0.3535,G.loss:1.8366\n",
            "Epoch: 194/200-Batch\\h: 655/938--D.loss:0.3647,G.loss:1.7179\n",
            "Epoch: 194/200-Batch\\h: 656/938--D.loss:0.4423,G.loss:1.5139\n",
            "Epoch: 194/200-Batch\\h: 657/938--D.loss:0.2604,G.loss:1.9210\n",
            "Epoch: 194/200-Batch\\h: 658/938--D.loss:0.2534,G.loss:1.9146\n",
            "Epoch: 194/200-Batch\\h: 659/938--D.loss:0.3563,G.loss:1.9209\n",
            "Epoch: 194/200-Batch\\h: 660/938--D.loss:0.3823,G.loss:2.0307\n",
            "Epoch: 194/200-Batch\\h: 661/938--D.loss:0.3553,G.loss:1.6226\n",
            "Epoch: 194/200-Batch\\h: 662/938--D.loss:0.3818,G.loss:1.5371\n",
            "Epoch: 194/200-Batch\\h: 663/938--D.loss:0.3424,G.loss:1.6356\n",
            "Epoch: 194/200-Batch\\h: 664/938--D.loss:0.3257,G.loss:1.6500\n",
            "Epoch: 194/200-Batch\\h: 665/938--D.loss:0.3251,G.loss:2.0104\n",
            "Epoch: 194/200-Batch\\h: 666/938--D.loss:0.3773,G.loss:1.8388\n",
            "Epoch: 194/200-Batch\\h: 667/938--D.loss:0.3003,G.loss:1.5047\n",
            "Epoch: 194/200-Batch\\h: 668/938--D.loss:0.3116,G.loss:1.6429\n",
            "Epoch: 194/200-Batch\\h: 669/938--D.loss:0.3239,G.loss:2.0965\n",
            "Epoch: 194/200-Batch\\h: 670/938--D.loss:0.3168,G.loss:1.7147\n",
            "Epoch: 194/200-Batch\\h: 671/938--D.loss:0.3098,G.loss:1.9140\n",
            "Epoch: 194/200-Batch\\h: 672/938--D.loss:0.3412,G.loss:1.8621\n",
            "Epoch: 194/200-Batch\\h: 673/938--D.loss:0.3472,G.loss:1.6652\n",
            "Epoch: 194/200-Batch\\h: 674/938--D.loss:0.2970,G.loss:1.8079\n",
            "Epoch: 194/200-Batch\\h: 675/938--D.loss:0.3287,G.loss:1.7222\n",
            "Epoch: 194/200-Batch\\h: 676/938--D.loss:0.3168,G.loss:1.8562\n",
            "Epoch: 194/200-Batch\\h: 677/938--D.loss:0.3538,G.loss:1.6416\n",
            "Epoch: 194/200-Batch\\h: 678/938--D.loss:0.3107,G.loss:1.4843\n",
            "Epoch: 194/200-Batch\\h: 679/938--D.loss:0.3557,G.loss:2.4260\n",
            "Epoch: 194/200-Batch\\h: 680/938--D.loss:0.2409,G.loss:1.8167\n",
            "Epoch: 194/200-Batch\\h: 681/938--D.loss:0.3720,G.loss:1.8294\n",
            "Epoch: 194/200-Batch\\h: 682/938--D.loss:0.4694,G.loss:1.7305\n",
            "Epoch: 194/200-Batch\\h: 683/938--D.loss:0.4151,G.loss:1.6842\n",
            "Epoch: 194/200-Batch\\h: 684/938--D.loss:0.3527,G.loss:1.7120\n",
            "Epoch: 194/200-Batch\\h: 685/938--D.loss:0.3701,G.loss:1.9109\n",
            "Epoch: 194/200-Batch\\h: 686/938--D.loss:0.2554,G.loss:1.9144\n",
            "Epoch: 194/200-Batch\\h: 687/938--D.loss:0.4694,G.loss:1.3253\n",
            "Epoch: 194/200-Batch\\h: 688/938--D.loss:0.2773,G.loss:1.6453\n",
            "Epoch: 194/200-Batch\\h: 689/938--D.loss:0.3613,G.loss:1.8675\n",
            "Epoch: 194/200-Batch\\h: 690/938--D.loss:0.3722,G.loss:1.7320\n",
            "Epoch: 194/200-Batch\\h: 691/938--D.loss:0.3449,G.loss:1.7871\n",
            "Epoch: 194/200-Batch\\h: 692/938--D.loss:0.3510,G.loss:1.5594\n",
            "Epoch: 194/200-Batch\\h: 693/938--D.loss:0.3604,G.loss:1.7388\n",
            "Epoch: 194/200-Batch\\h: 694/938--D.loss:0.2848,G.loss:1.6632\n",
            "Epoch: 194/200-Batch\\h: 695/938--D.loss:0.3028,G.loss:1.5814\n",
            "Epoch: 194/200-Batch\\h: 696/938--D.loss:0.3255,G.loss:2.0442\n",
            "Epoch: 194/200-Batch\\h: 697/938--D.loss:0.3035,G.loss:1.8301\n",
            "Epoch: 194/200-Batch\\h: 698/938--D.loss:0.3394,G.loss:1.6718\n",
            "Epoch: 194/200-Batch\\h: 699/938--D.loss:0.3864,G.loss:1.6807\n",
            "Epoch: 194/200-Batch\\h: 700/938--D.loss:0.3593,G.loss:1.8580\n",
            "Epoch: 194/200-Batch\\h: 701/938--D.loss:0.4397,G.loss:1.3438\n",
            "Epoch: 194/200-Batch\\h: 702/938--D.loss:0.4431,G.loss:1.1886\n",
            "Epoch: 194/200-Batch\\h: 703/938--D.loss:0.3519,G.loss:1.8071\n",
            "Epoch: 194/200-Batch\\h: 704/938--D.loss:0.2958,G.loss:1.8083\n",
            "Epoch: 194/200-Batch\\h: 705/938--D.loss:0.3055,G.loss:1.8393\n",
            "Epoch: 194/200-Batch\\h: 706/938--D.loss:0.2663,G.loss:1.6484\n",
            "Epoch: 194/200-Batch\\h: 707/938--D.loss:0.3372,G.loss:1.7658\n",
            "Epoch: 194/200-Batch\\h: 708/938--D.loss:0.3505,G.loss:1.9126\n",
            "Epoch: 194/200-Batch\\h: 709/938--D.loss:0.2473,G.loss:1.7072\n",
            "Epoch: 194/200-Batch\\h: 710/938--D.loss:0.4608,G.loss:2.0184\n",
            "Epoch: 194/200-Batch\\h: 711/938--D.loss:0.3409,G.loss:1.4663\n",
            "Epoch: 194/200-Batch\\h: 712/938--D.loss:0.3364,G.loss:1.6966\n",
            "Epoch: 194/200-Batch\\h: 713/938--D.loss:0.4118,G.loss:1.6748\n",
            "Epoch: 194/200-Batch\\h: 714/938--D.loss:0.4133,G.loss:1.8903\n",
            "Epoch: 194/200-Batch\\h: 715/938--D.loss:0.3453,G.loss:1.5937\n",
            "Epoch: 194/200-Batch\\h: 716/938--D.loss:0.3800,G.loss:1.5588\n",
            "Epoch: 194/200-Batch\\h: 717/938--D.loss:0.3704,G.loss:1.7380\n",
            "Epoch: 194/200-Batch\\h: 718/938--D.loss:0.4092,G.loss:1.5904\n",
            "Epoch: 194/200-Batch\\h: 719/938--D.loss:0.3946,G.loss:1.3266\n",
            "Epoch: 194/200-Batch\\h: 720/938--D.loss:0.3287,G.loss:1.7076\n",
            "Epoch: 194/200-Batch\\h: 721/938--D.loss:0.3359,G.loss:1.5228\n",
            "Epoch: 194/200-Batch\\h: 722/938--D.loss:0.3482,G.loss:1.5153\n",
            "Epoch: 194/200-Batch\\h: 723/938--D.loss:0.4056,G.loss:1.9081\n",
            "Epoch: 194/200-Batch\\h: 724/938--D.loss:0.3211,G.loss:1.7117\n",
            "Epoch: 194/200-Batch\\h: 725/938--D.loss:0.4610,G.loss:1.6347\n",
            "Epoch: 194/200-Batch\\h: 726/938--D.loss:0.3302,G.loss:1.3478\n",
            "Epoch: 194/200-Batch\\h: 727/938--D.loss:0.2620,G.loss:1.8219\n",
            "Epoch: 194/200-Batch\\h: 728/938--D.loss:0.3913,G.loss:2.2047\n",
            "Epoch: 194/200-Batch\\h: 729/938--D.loss:0.3013,G.loss:1.6588\n",
            "Epoch: 194/200-Batch\\h: 730/938--D.loss:0.4414,G.loss:1.3640\n",
            "Epoch: 194/200-Batch\\h: 731/938--D.loss:0.2941,G.loss:2.1415\n",
            "Epoch: 194/200-Batch\\h: 732/938--D.loss:0.2923,G.loss:1.7800\n",
            "Epoch: 194/200-Batch\\h: 733/938--D.loss:0.3671,G.loss:1.7249\n",
            "Epoch: 194/200-Batch\\h: 734/938--D.loss:0.3436,G.loss:1.5454\n",
            "Epoch: 194/200-Batch\\h: 735/938--D.loss:0.4210,G.loss:1.7652\n",
            "Epoch: 194/200-Batch\\h: 736/938--D.loss:0.3793,G.loss:1.6485\n",
            "Epoch: 194/200-Batch\\h: 737/938--D.loss:0.3438,G.loss:1.7688\n",
            "Epoch: 194/200-Batch\\h: 738/938--D.loss:0.2387,G.loss:1.8395\n",
            "Epoch: 194/200-Batch\\h: 739/938--D.loss:0.3553,G.loss:2.0798\n",
            "Epoch: 194/200-Batch\\h: 740/938--D.loss:0.3609,G.loss:1.4882\n",
            "Epoch: 194/200-Batch\\h: 741/938--D.loss:0.3984,G.loss:1.5345\n",
            "Epoch: 194/200-Batch\\h: 742/938--D.loss:0.4414,G.loss:1.8209\n",
            "Epoch: 194/200-Batch\\h: 743/938--D.loss:0.3190,G.loss:1.9100\n",
            "Epoch: 194/200-Batch\\h: 744/938--D.loss:0.2971,G.loss:1.7371\n",
            "Epoch: 194/200-Batch\\h: 745/938--D.loss:0.4038,G.loss:1.5011\n",
            "Epoch: 194/200-Batch\\h: 746/938--D.loss:0.4430,G.loss:1.6791\n",
            "Epoch: 194/200-Batch\\h: 747/938--D.loss:0.3140,G.loss:1.5747\n",
            "Epoch: 194/200-Batch\\h: 748/938--D.loss:0.3325,G.loss:1.8657\n",
            "Epoch: 194/200-Batch\\h: 749/938--D.loss:0.3970,G.loss:1.9467\n",
            "Epoch: 194/200-Batch\\h: 750/938--D.loss:0.3849,G.loss:1.5322\n",
            "Epoch: 194/200-Batch\\h: 751/938--D.loss:0.3452,G.loss:1.2981\n",
            "Epoch: 194/200-Batch\\h: 752/938--D.loss:0.3472,G.loss:1.7700\n",
            "Epoch: 194/200-Batch\\h: 753/938--D.loss:0.3739,G.loss:1.7011\n",
            "Epoch: 194/200-Batch\\h: 754/938--D.loss:0.3355,G.loss:1.7295\n",
            "Epoch: 194/200-Batch\\h: 755/938--D.loss:0.3866,G.loss:1.7904\n",
            "Epoch: 194/200-Batch\\h: 756/938--D.loss:0.2677,G.loss:1.6104\n",
            "Epoch: 194/200-Batch\\h: 757/938--D.loss:0.3345,G.loss:1.7400\n",
            "Epoch: 194/200-Batch\\h: 758/938--D.loss:0.3654,G.loss:1.8852\n",
            "Epoch: 194/200-Batch\\h: 759/938--D.loss:0.3215,G.loss:1.5563\n",
            "Epoch: 194/200-Batch\\h: 760/938--D.loss:0.3320,G.loss:1.5347\n",
            "Epoch: 194/200-Batch\\h: 761/938--D.loss:0.2931,G.loss:1.9239\n",
            "Epoch: 194/200-Batch\\h: 762/938--D.loss:0.2791,G.loss:2.0422\n",
            "Epoch: 194/200-Batch\\h: 763/938--D.loss:0.3167,G.loss:1.8073\n",
            "Epoch: 194/200-Batch\\h: 764/938--D.loss:0.4518,G.loss:1.5585\n",
            "Epoch: 194/200-Batch\\h: 765/938--D.loss:0.5613,G.loss:2.3797\n",
            "Epoch: 194/200-Batch\\h: 766/938--D.loss:0.3057,G.loss:1.2681\n",
            "Epoch: 194/200-Batch\\h: 767/938--D.loss:0.3804,G.loss:1.5523\n",
            "Epoch: 194/200-Batch\\h: 768/938--D.loss:0.4200,G.loss:1.6507\n",
            "Epoch: 194/200-Batch\\h: 769/938--D.loss:0.3788,G.loss:1.7949\n",
            "Epoch: 194/200-Batch\\h: 770/938--D.loss:0.3391,G.loss:1.2897\n",
            "Epoch: 194/200-Batch\\h: 771/938--D.loss:0.2955,G.loss:1.8430\n",
            "Epoch: 194/200-Batch\\h: 772/938--D.loss:0.3262,G.loss:2.2441\n",
            "Epoch: 194/200-Batch\\h: 773/938--D.loss:0.4016,G.loss:1.7961\n",
            "Epoch: 194/200-Batch\\h: 774/938--D.loss:0.3244,G.loss:1.6014\n",
            "Epoch: 194/200-Batch\\h: 775/938--D.loss:0.3612,G.loss:1.5626\n",
            "Epoch: 194/200-Batch\\h: 776/938--D.loss:0.3889,G.loss:1.8035\n",
            "Epoch: 194/200-Batch\\h: 777/938--D.loss:0.3499,G.loss:1.4914\n",
            "Epoch: 194/200-Batch\\h: 778/938--D.loss:0.3852,G.loss:1.6056\n",
            "Epoch: 194/200-Batch\\h: 779/938--D.loss:0.3058,G.loss:1.7820\n",
            "Epoch: 194/200-Batch\\h: 780/938--D.loss:0.3830,G.loss:1.5291\n",
            "Epoch: 194/200-Batch\\h: 781/938--D.loss:0.3479,G.loss:1.7763\n",
            "Epoch: 194/200-Batch\\h: 782/938--D.loss:0.3307,G.loss:1.8162\n",
            "Epoch: 194/200-Batch\\h: 783/938--D.loss:0.3615,G.loss:1.6169\n",
            "Epoch: 194/200-Batch\\h: 784/938--D.loss:0.3125,G.loss:1.7639\n",
            "Epoch: 194/200-Batch\\h: 785/938--D.loss:0.3646,G.loss:1.8864\n",
            "Epoch: 194/200-Batch\\h: 786/938--D.loss:0.3537,G.loss:1.7193\n",
            "Epoch: 194/200-Batch\\h: 787/938--D.loss:0.3442,G.loss:1.3278\n",
            "Epoch: 194/200-Batch\\h: 788/938--D.loss:0.3458,G.loss:1.8526\n",
            "Epoch: 194/200-Batch\\h: 789/938--D.loss:0.3392,G.loss:1.6745\n",
            "Epoch: 194/200-Batch\\h: 790/938--D.loss:0.3700,G.loss:1.6084\n",
            "Epoch: 194/200-Batch\\h: 791/938--D.loss:0.3704,G.loss:1.4721\n",
            "Epoch: 194/200-Batch\\h: 792/938--D.loss:0.3724,G.loss:1.7266\n",
            "Epoch: 194/200-Batch\\h: 793/938--D.loss:0.3424,G.loss:2.0211\n",
            "Epoch: 194/200-Batch\\h: 794/938--D.loss:0.3084,G.loss:1.8082\n",
            "Epoch: 194/200-Batch\\h: 795/938--D.loss:0.4099,G.loss:1.6329\n",
            "Epoch: 194/200-Batch\\h: 796/938--D.loss:0.3848,G.loss:1.7844\n",
            "Epoch: 194/200-Batch\\h: 797/938--D.loss:0.3605,G.loss:1.7748\n",
            "Epoch: 194/200-Batch\\h: 798/938--D.loss:0.3576,G.loss:1.4644\n",
            "Epoch: 194/200-Batch\\h: 799/938--D.loss:0.4175,G.loss:1.4969\n",
            "Epoch: 194/200-Batch\\h: 800/938--D.loss:0.4405,G.loss:1.9200\n",
            "Epoch: 194/200-Batch\\h: 801/938--D.loss:0.3959,G.loss:1.5774\n",
            "Epoch: 194/200-Batch\\h: 802/938--D.loss:0.3518,G.loss:1.3744\n",
            "Epoch: 194/200-Batch\\h: 803/938--D.loss:0.3050,G.loss:1.6055\n",
            "Epoch: 194/200-Batch\\h: 804/938--D.loss:0.3668,G.loss:1.9003\n",
            "Epoch: 194/200-Batch\\h: 805/938--D.loss:0.4602,G.loss:1.7635\n",
            "Epoch: 194/200-Batch\\h: 806/938--D.loss:0.3777,G.loss:1.9185\n",
            "Epoch: 194/200-Batch\\h: 807/938--D.loss:0.3887,G.loss:1.3212\n",
            "Epoch: 194/200-Batch\\h: 808/938--D.loss:0.3198,G.loss:1.4952\n",
            "Epoch: 194/200-Batch\\h: 809/938--D.loss:0.3520,G.loss:1.8328\n",
            "Epoch: 194/200-Batch\\h: 810/938--D.loss:0.3827,G.loss:1.7000\n",
            "Epoch: 194/200-Batch\\h: 811/938--D.loss:0.3188,G.loss:1.6554\n",
            "Epoch: 194/200-Batch\\h: 812/938--D.loss:0.3341,G.loss:1.8572\n",
            "Epoch: 194/200-Batch\\h: 813/938--D.loss:0.4112,G.loss:1.8180\n",
            "Epoch: 194/200-Batch\\h: 814/938--D.loss:0.4737,G.loss:1.2388\n",
            "Epoch: 194/200-Batch\\h: 815/938--D.loss:0.3392,G.loss:1.8624\n",
            "Epoch: 194/200-Batch\\h: 816/938--D.loss:0.3858,G.loss:1.7718\n",
            "Epoch: 194/200-Batch\\h: 817/938--D.loss:0.4071,G.loss:1.7299\n",
            "Epoch: 194/200-Batch\\h: 818/938--D.loss:0.2812,G.loss:1.5736\n",
            "Epoch: 194/200-Batch\\h: 819/938--D.loss:0.3219,G.loss:1.7402\n",
            "Epoch: 194/200-Batch\\h: 820/938--D.loss:0.3309,G.loss:1.9130\n",
            "Epoch: 194/200-Batch\\h: 821/938--D.loss:0.3198,G.loss:1.7257\n",
            "Epoch: 194/200-Batch\\h: 822/938--D.loss:0.2783,G.loss:1.6064\n",
            "Epoch: 194/200-Batch\\h: 823/938--D.loss:0.3469,G.loss:1.7619\n",
            "Epoch: 194/200-Batch\\h: 824/938--D.loss:0.4550,G.loss:1.8856\n",
            "Epoch: 194/200-Batch\\h: 825/938--D.loss:0.3945,G.loss:1.4068\n",
            "Epoch: 194/200-Batch\\h: 826/938--D.loss:0.4354,G.loss:1.4679\n",
            "Epoch: 194/200-Batch\\h: 827/938--D.loss:0.3563,G.loss:1.5714\n",
            "Epoch: 194/200-Batch\\h: 828/938--D.loss:0.3337,G.loss:1.9317\n",
            "Epoch: 194/200-Batch\\h: 829/938--D.loss:0.3566,G.loss:1.3306\n",
            "Epoch: 194/200-Batch\\h: 830/938--D.loss:0.3460,G.loss:1.6683\n",
            "Epoch: 194/200-Batch\\h: 831/938--D.loss:0.3726,G.loss:2.0306\n",
            "Epoch: 194/200-Batch\\h: 832/938--D.loss:0.3245,G.loss:1.8840\n",
            "Epoch: 194/200-Batch\\h: 833/938--D.loss:0.3667,G.loss:1.6320\n",
            "Epoch: 194/200-Batch\\h: 834/938--D.loss:0.3914,G.loss:1.4586\n",
            "Epoch: 194/200-Batch\\h: 835/938--D.loss:0.3748,G.loss:1.4925\n",
            "Epoch: 194/200-Batch\\h: 836/938--D.loss:0.3195,G.loss:1.7152\n",
            "Epoch: 194/200-Batch\\h: 837/938--D.loss:0.3317,G.loss:1.4175\n",
            "Epoch: 194/200-Batch\\h: 838/938--D.loss:0.4434,G.loss:1.8485\n",
            "Epoch: 194/200-Batch\\h: 839/938--D.loss:0.3104,G.loss:1.7384\n",
            "Epoch: 194/200-Batch\\h: 840/938--D.loss:0.3112,G.loss:1.7192\n",
            "Epoch: 194/200-Batch\\h: 841/938--D.loss:0.4157,G.loss:1.5556\n",
            "Epoch: 194/200-Batch\\h: 842/938--D.loss:0.3127,G.loss:1.9043\n",
            "Epoch: 194/200-Batch\\h: 843/938--D.loss:0.4023,G.loss:1.4597\n",
            "Epoch: 194/200-Batch\\h: 844/938--D.loss:0.3243,G.loss:1.6831\n",
            "Epoch: 194/200-Batch\\h: 845/938--D.loss:0.2713,G.loss:1.7359\n",
            "Epoch: 194/200-Batch\\h: 846/938--D.loss:0.3255,G.loss:1.7302\n",
            "Epoch: 194/200-Batch\\h: 847/938--D.loss:0.2975,G.loss:1.7575\n",
            "Epoch: 194/200-Batch\\h: 848/938--D.loss:0.2836,G.loss:1.6613\n",
            "Epoch: 194/200-Batch\\h: 849/938--D.loss:0.3535,G.loss:1.8371\n",
            "Epoch: 194/200-Batch\\h: 850/938--D.loss:0.2895,G.loss:1.7829\n",
            "Epoch: 194/200-Batch\\h: 851/938--D.loss:0.3561,G.loss:1.8634\n",
            "Epoch: 194/200-Batch\\h: 852/938--D.loss:0.4194,G.loss:2.0137\n",
            "Epoch: 194/200-Batch\\h: 853/938--D.loss:0.4195,G.loss:1.3137\n",
            "Epoch: 194/200-Batch\\h: 854/938--D.loss:0.3768,G.loss:1.3381\n",
            "Epoch: 194/200-Batch\\h: 855/938--D.loss:0.4113,G.loss:2.2950\n",
            "Epoch: 194/200-Batch\\h: 856/938--D.loss:0.3214,G.loss:1.8368\n",
            "Epoch: 194/200-Batch\\h: 857/938--D.loss:0.3320,G.loss:1.4129\n",
            "Epoch: 194/200-Batch\\h: 858/938--D.loss:0.3754,G.loss:1.4699\n",
            "Epoch: 194/200-Batch\\h: 859/938--D.loss:0.4515,G.loss:1.9184\n",
            "Epoch: 194/200-Batch\\h: 860/938--D.loss:0.4250,G.loss:1.7213\n",
            "Epoch: 194/200-Batch\\h: 861/938--D.loss:0.3338,G.loss:1.4649\n",
            "Epoch: 194/200-Batch\\h: 862/938--D.loss:0.4475,G.loss:1.7331\n",
            "Epoch: 194/200-Batch\\h: 863/938--D.loss:0.3021,G.loss:1.7155\n",
            "Epoch: 194/200-Batch\\h: 864/938--D.loss:0.3357,G.loss:1.9534\n",
            "Epoch: 194/200-Batch\\h: 865/938--D.loss:0.3260,G.loss:1.7714\n",
            "Epoch: 194/200-Batch\\h: 866/938--D.loss:0.2957,G.loss:1.5741\n",
            "Epoch: 194/200-Batch\\h: 867/938--D.loss:0.3098,G.loss:1.6861\n",
            "Epoch: 194/200-Batch\\h: 868/938--D.loss:0.4531,G.loss:1.9041\n",
            "Epoch: 194/200-Batch\\h: 869/938--D.loss:0.3186,G.loss:1.6512\n",
            "Epoch: 194/200-Batch\\h: 870/938--D.loss:0.3731,G.loss:1.6510\n",
            "Epoch: 194/200-Batch\\h: 871/938--D.loss:0.3621,G.loss:1.5996\n",
            "Epoch: 194/200-Batch\\h: 872/938--D.loss:0.3355,G.loss:1.7068\n",
            "Epoch: 194/200-Batch\\h: 873/938--D.loss:0.3807,G.loss:1.6614\n",
            "Epoch: 194/200-Batch\\h: 874/938--D.loss:0.3416,G.loss:1.8307\n",
            "Epoch: 194/200-Batch\\h: 875/938--D.loss:0.3399,G.loss:1.7358\n",
            "Epoch: 194/200-Batch\\h: 876/938--D.loss:0.4022,G.loss:1.6190\n",
            "Epoch: 194/200-Batch\\h: 877/938--D.loss:0.3913,G.loss:1.4421\n",
            "Epoch: 194/200-Batch\\h: 878/938--D.loss:0.3728,G.loss:1.3526\n",
            "Epoch: 194/200-Batch\\h: 879/938--D.loss:0.3351,G.loss:2.1057\n",
            "Epoch: 194/200-Batch\\h: 880/938--D.loss:0.3067,G.loss:1.7168\n",
            "Epoch: 194/200-Batch\\h: 881/938--D.loss:0.2951,G.loss:1.9995\n",
            "Epoch: 194/200-Batch\\h: 882/938--D.loss:0.3619,G.loss:1.7101\n",
            "Epoch: 194/200-Batch\\h: 883/938--D.loss:0.3826,G.loss:1.5703\n",
            "Epoch: 194/200-Batch\\h: 884/938--D.loss:0.3643,G.loss:1.5492\n",
            "Epoch: 194/200-Batch\\h: 885/938--D.loss:0.3281,G.loss:1.4054\n",
            "Epoch: 194/200-Batch\\h: 886/938--D.loss:0.4638,G.loss:1.6199\n",
            "Epoch: 194/200-Batch\\h: 887/938--D.loss:0.3728,G.loss:1.9611\n",
            "Epoch: 194/200-Batch\\h: 888/938--D.loss:0.3537,G.loss:1.5535\n",
            "Epoch: 194/200-Batch\\h: 889/938--D.loss:0.3895,G.loss:1.2999\n",
            "Epoch: 194/200-Batch\\h: 890/938--D.loss:0.2711,G.loss:1.7700\n",
            "Epoch: 194/200-Batch\\h: 891/938--D.loss:0.3819,G.loss:1.9589\n",
            "Epoch: 194/200-Batch\\h: 892/938--D.loss:0.3956,G.loss:1.6512\n",
            "Epoch: 194/200-Batch\\h: 893/938--D.loss:0.3826,G.loss:1.4462\n",
            "Epoch: 194/200-Batch\\h: 894/938--D.loss:0.4086,G.loss:1.7664\n",
            "Epoch: 194/200-Batch\\h: 895/938--D.loss:0.3454,G.loss:1.5672\n",
            "Epoch: 194/200-Batch\\h: 896/938--D.loss:0.3660,G.loss:1.8117\n",
            "Epoch: 194/200-Batch\\h: 897/938--D.loss:0.3737,G.loss:1.8913\n",
            "Epoch: 194/200-Batch\\h: 898/938--D.loss:0.3491,G.loss:1.4351\n",
            "Epoch: 194/200-Batch\\h: 899/938--D.loss:0.3990,G.loss:1.7004\n",
            "Epoch: 194/200-Batch\\h: 900/938--D.loss:0.2957,G.loss:1.6137\n",
            "Epoch: 194/200-Batch\\h: 901/938--D.loss:0.3392,G.loss:1.6796\n",
            "Epoch: 194/200-Batch\\h: 902/938--D.loss:0.3048,G.loss:1.8913\n",
            "Epoch: 194/200-Batch\\h: 903/938--D.loss:0.3070,G.loss:1.8038\n",
            "Epoch: 194/200-Batch\\h: 904/938--D.loss:0.3519,G.loss:1.5070\n",
            "Epoch: 194/200-Batch\\h: 905/938--D.loss:0.3306,G.loss:1.8709\n",
            "Epoch: 194/200-Batch\\h: 906/938--D.loss:0.3619,G.loss:2.0227\n",
            "Epoch: 194/200-Batch\\h: 907/938--D.loss:0.4026,G.loss:1.9294\n",
            "Epoch: 194/200-Batch\\h: 908/938--D.loss:0.3371,G.loss:1.2880\n",
            "Epoch: 194/200-Batch\\h: 909/938--D.loss:0.3177,G.loss:1.6341\n",
            "Epoch: 194/200-Batch\\h: 910/938--D.loss:0.3538,G.loss:2.2963\n",
            "Epoch: 194/200-Batch\\h: 911/938--D.loss:0.3240,G.loss:1.9136\n",
            "Epoch: 194/200-Batch\\h: 912/938--D.loss:0.3974,G.loss:1.6823\n",
            "Epoch: 194/200-Batch\\h: 913/938--D.loss:0.4147,G.loss:1.5133\n",
            "Epoch: 194/200-Batch\\h: 914/938--D.loss:0.4287,G.loss:1.5230\n",
            "Epoch: 194/200-Batch\\h: 915/938--D.loss:0.3559,G.loss:1.6335\n",
            "Epoch: 194/200-Batch\\h: 916/938--D.loss:0.3487,G.loss:1.5654\n",
            "Epoch: 194/200-Batch\\h: 917/938--D.loss:0.3363,G.loss:1.8106\n",
            "Epoch: 194/200-Batch\\h: 918/938--D.loss:0.3729,G.loss:1.7494\n",
            "Epoch: 194/200-Batch\\h: 919/938--D.loss:0.3645,G.loss:1.6181\n",
            "Epoch: 194/200-Batch\\h: 920/938--D.loss:0.2773,G.loss:1.7171\n",
            "Epoch: 194/200-Batch\\h: 921/938--D.loss:0.3714,G.loss:1.8192\n",
            "Epoch: 194/200-Batch\\h: 922/938--D.loss:0.4596,G.loss:1.7465\n",
            "Epoch: 194/200-Batch\\h: 923/938--D.loss:0.3773,G.loss:1.4513\n",
            "Epoch: 194/200-Batch\\h: 924/938--D.loss:0.3712,G.loss:1.3042\n",
            "Epoch: 194/200-Batch\\h: 925/938--D.loss:0.2888,G.loss:1.9441\n",
            "Epoch: 194/200-Batch\\h: 926/938--D.loss:0.3042,G.loss:1.9003\n",
            "Epoch: 194/200-Batch\\h: 927/938--D.loss:0.4166,G.loss:1.8117\n",
            "Epoch: 194/200-Batch\\h: 928/938--D.loss:0.3656,G.loss:1.4629\n",
            "Epoch: 194/200-Batch\\h: 929/938--D.loss:0.3562,G.loss:1.4445\n",
            "Epoch: 194/200-Batch\\h: 930/938--D.loss:0.3314,G.loss:1.6487\n",
            "Epoch: 194/200-Batch\\h: 931/938--D.loss:0.3129,G.loss:2.0235\n",
            "Epoch: 194/200-Batch\\h: 932/938--D.loss:0.3828,G.loss:2.0802\n",
            "Epoch: 194/200-Batch\\h: 933/938--D.loss:0.3925,G.loss:1.2987\n",
            "Epoch: 194/200-Batch\\h: 934/938--D.loss:0.3236,G.loss:1.7521\n",
            "Epoch: 194/200-Batch\\h: 935/938--D.loss:0.3821,G.loss:1.9204\n",
            "Epoch: 194/200-Batch\\h: 936/938--D.loss:0.3314,G.loss:1.6101\n",
            "Epoch: 194/200-Batch\\h: 937/938--D.loss:0.3065,G.loss:1.8951\n",
            "Epoch: 195/200-Batch\\h: 0/938--D.loss:0.3369,G.loss:2.1132\n",
            "Epoch: 195/200-Batch\\h: 1/938--D.loss:0.3664,G.loss:1.4524\n",
            "Epoch: 195/200-Batch\\h: 2/938--D.loss:0.3862,G.loss:1.7533\n",
            "Epoch: 195/200-Batch\\h: 3/938--D.loss:0.3497,G.loss:1.5676\n",
            "Epoch: 195/200-Batch\\h: 4/938--D.loss:0.3288,G.loss:1.5701\n",
            "Epoch: 195/200-Batch\\h: 5/938--D.loss:0.3385,G.loss:1.9919\n",
            "Epoch: 195/200-Batch\\h: 6/938--D.loss:0.4406,G.loss:1.5549\n",
            "Epoch: 195/200-Batch\\h: 7/938--D.loss:0.3386,G.loss:2.2179\n",
            "Epoch: 195/200-Batch\\h: 8/938--D.loss:0.2586,G.loss:1.8026\n",
            "Epoch: 195/200-Batch\\h: 9/938--D.loss:0.3349,G.loss:1.8031\n",
            "Epoch: 195/200-Batch\\h: 10/938--D.loss:0.3200,G.loss:1.6910\n",
            "Epoch: 195/200-Batch\\h: 11/938--D.loss:0.2639,G.loss:2.2776\n",
            "Epoch: 195/200-Batch\\h: 12/938--D.loss:0.5075,G.loss:2.1231\n",
            "Epoch: 195/200-Batch\\h: 13/938--D.loss:0.5123,G.loss:1.0072\n",
            "Epoch: 195/200-Batch\\h: 14/938--D.loss:0.3620,G.loss:1.5118\n",
            "Epoch: 195/200-Batch\\h: 15/938--D.loss:0.3412,G.loss:1.7886\n",
            "Epoch: 195/200-Batch\\h: 16/938--D.loss:0.4013,G.loss:1.7573\n",
            "Epoch: 195/200-Batch\\h: 17/938--D.loss:0.3039,G.loss:1.3217\n",
            "Epoch: 195/200-Batch\\h: 18/938--D.loss:0.3176,G.loss:1.4751\n",
            "Epoch: 195/200-Batch\\h: 19/938--D.loss:0.3170,G.loss:2.1225\n",
            "Epoch: 195/200-Batch\\h: 20/938--D.loss:0.4195,G.loss:2.0793\n",
            "Epoch: 195/200-Batch\\h: 21/938--D.loss:0.4819,G.loss:1.3079\n",
            "Epoch: 195/200-Batch\\h: 22/938--D.loss:0.3936,G.loss:1.6688\n",
            "Epoch: 195/200-Batch\\h: 23/938--D.loss:0.3765,G.loss:1.9318\n",
            "Epoch: 195/200-Batch\\h: 24/938--D.loss:0.3837,G.loss:1.5277\n",
            "Epoch: 195/200-Batch\\h: 25/938--D.loss:0.3180,G.loss:1.2936\n",
            "Epoch: 195/200-Batch\\h: 26/938--D.loss:0.4154,G.loss:1.5574\n",
            "Epoch: 195/200-Batch\\h: 27/938--D.loss:0.3635,G.loss:1.8809\n",
            "Epoch: 195/200-Batch\\h: 28/938--D.loss:0.3931,G.loss:1.9163\n",
            "Epoch: 195/200-Batch\\h: 29/938--D.loss:0.3370,G.loss:1.5900\n",
            "Epoch: 195/200-Batch\\h: 30/938--D.loss:0.3523,G.loss:1.6812\n",
            "Epoch: 195/200-Batch\\h: 31/938--D.loss:0.3907,G.loss:1.6272\n",
            "Epoch: 195/200-Batch\\h: 32/938--D.loss:0.4156,G.loss:1.9895\n",
            "Epoch: 195/200-Batch\\h: 33/938--D.loss:0.3767,G.loss:1.6163\n",
            "Epoch: 195/200-Batch\\h: 34/938--D.loss:0.3358,G.loss:1.4957\n",
            "Epoch: 195/200-Batch\\h: 35/938--D.loss:0.3828,G.loss:1.9130\n",
            "Epoch: 195/200-Batch\\h: 36/938--D.loss:0.3397,G.loss:1.9084\n",
            "Epoch: 195/200-Batch\\h: 37/938--D.loss:0.3168,G.loss:1.4593\n",
            "Epoch: 195/200-Batch\\h: 38/938--D.loss:0.3336,G.loss:1.8022\n",
            "Epoch: 195/200-Batch\\h: 39/938--D.loss:0.3245,G.loss:1.6500\n",
            "Epoch: 195/200-Batch\\h: 40/938--D.loss:0.3044,G.loss:1.7915\n",
            "Epoch: 195/200-Batch\\h: 41/938--D.loss:0.3062,G.loss:1.6413\n",
            "Epoch: 195/200-Batch\\h: 42/938--D.loss:0.3826,G.loss:2.0387\n",
            "Epoch: 195/200-Batch\\h: 43/938--D.loss:0.4248,G.loss:2.1604\n",
            "Epoch: 195/200-Batch\\h: 44/938--D.loss:0.3609,G.loss:1.3368\n",
            "Epoch: 195/200-Batch\\h: 45/938--D.loss:0.3537,G.loss:1.3928\n",
            "Epoch: 195/200-Batch\\h: 46/938--D.loss:0.3902,G.loss:2.2293\n",
            "Epoch: 195/200-Batch\\h: 47/938--D.loss:0.3787,G.loss:1.6548\n",
            "Epoch: 195/200-Batch\\h: 48/938--D.loss:0.3556,G.loss:1.4584\n",
            "Epoch: 195/200-Batch\\h: 49/938--D.loss:0.3436,G.loss:1.5409\n",
            "Epoch: 195/200-Batch\\h: 50/938--D.loss:0.4245,G.loss:1.7692\n",
            "Epoch: 195/200-Batch\\h: 51/938--D.loss:0.3293,G.loss:1.6298\n",
            "Epoch: 195/200-Batch\\h: 52/938--D.loss:0.3685,G.loss:1.5824\n",
            "Epoch: 195/200-Batch\\h: 53/938--D.loss:0.3867,G.loss:1.7012\n",
            "Epoch: 195/200-Batch\\h: 54/938--D.loss:0.3328,G.loss:1.8366\n",
            "Epoch: 195/200-Batch\\h: 55/938--D.loss:0.4365,G.loss:1.5571\n",
            "Epoch: 195/200-Batch\\h: 56/938--D.loss:0.4002,G.loss:1.7541\n",
            "Epoch: 195/200-Batch\\h: 57/938--D.loss:0.3959,G.loss:1.2648\n",
            "Epoch: 195/200-Batch\\h: 58/938--D.loss:0.2431,G.loss:1.6602\n",
            "Epoch: 195/200-Batch\\h: 59/938--D.loss:0.3341,G.loss:2.2838\n",
            "Epoch: 195/200-Batch\\h: 60/938--D.loss:0.3965,G.loss:1.7522\n",
            "Epoch: 195/200-Batch\\h: 61/938--D.loss:0.3956,G.loss:1.6141\n",
            "Epoch: 195/200-Batch\\h: 62/938--D.loss:0.3358,G.loss:1.5103\n",
            "Epoch: 195/200-Batch\\h: 63/938--D.loss:0.4055,G.loss:1.7277\n",
            "Epoch: 195/200-Batch\\h: 64/938--D.loss:0.3548,G.loss:1.9180\n",
            "Epoch: 195/200-Batch\\h: 65/938--D.loss:0.3363,G.loss:2.0574\n",
            "Epoch: 195/200-Batch\\h: 66/938--D.loss:0.4203,G.loss:1.3803\n",
            "Epoch: 195/200-Batch\\h: 67/938--D.loss:0.4254,G.loss:1.3562\n",
            "Epoch: 195/200-Batch\\h: 68/938--D.loss:0.3405,G.loss:1.4988\n",
            "Epoch: 195/200-Batch\\h: 69/938--D.loss:0.3799,G.loss:1.7211\n",
            "Epoch: 195/200-Batch\\h: 70/938--D.loss:0.3221,G.loss:1.4462\n",
            "Epoch: 195/200-Batch\\h: 71/938--D.loss:0.3621,G.loss:1.7333\n",
            "Epoch: 195/200-Batch\\h: 72/938--D.loss:0.3507,G.loss:1.5880\n",
            "Epoch: 195/200-Batch\\h: 73/938--D.loss:0.3822,G.loss:1.8417\n",
            "Epoch: 195/200-Batch\\h: 74/938--D.loss:0.3551,G.loss:1.3615\n",
            "Epoch: 195/200-Batch\\h: 75/938--D.loss:0.3635,G.loss:1.6352\n",
            "Epoch: 195/200-Batch\\h: 76/938--D.loss:0.4040,G.loss:1.7574\n",
            "Epoch: 195/200-Batch\\h: 77/938--D.loss:0.3669,G.loss:1.4675\n",
            "Epoch: 195/200-Batch\\h: 78/938--D.loss:0.3876,G.loss:1.5370\n",
            "Epoch: 195/200-Batch\\h: 79/938--D.loss:0.3027,G.loss:1.5540\n",
            "Epoch: 195/200-Batch\\h: 80/938--D.loss:0.4323,G.loss:1.6752\n",
            "Epoch: 195/200-Batch\\h: 81/938--D.loss:0.4650,G.loss:1.6497\n",
            "Epoch: 195/200-Batch\\h: 82/938--D.loss:0.4016,G.loss:1.3169\n",
            "Epoch: 195/200-Batch\\h: 83/938--D.loss:0.3691,G.loss:1.6076\n",
            "Epoch: 195/200-Batch\\h: 84/938--D.loss:0.4138,G.loss:1.9616\n",
            "Epoch: 195/200-Batch\\h: 85/938--D.loss:0.3913,G.loss:1.7323\n",
            "Epoch: 195/200-Batch\\h: 86/938--D.loss:0.3171,G.loss:1.6246\n",
            "Epoch: 195/200-Batch\\h: 87/938--D.loss:0.3968,G.loss:1.4261\n",
            "Epoch: 195/200-Batch\\h: 88/938--D.loss:0.3080,G.loss:1.9679\n",
            "Epoch: 195/200-Batch\\h: 89/938--D.loss:0.4232,G.loss:1.6363\n",
            "Epoch: 195/200-Batch\\h: 90/938--D.loss:0.3521,G.loss:1.3837\n",
            "Epoch: 195/200-Batch\\h: 91/938--D.loss:0.3303,G.loss:1.8598\n",
            "Epoch: 195/200-Batch\\h: 92/938--D.loss:0.4174,G.loss:1.7123\n",
            "Epoch: 195/200-Batch\\h: 93/938--D.loss:0.3221,G.loss:1.6216\n",
            "Epoch: 195/200-Batch\\h: 94/938--D.loss:0.3109,G.loss:1.5782\n",
            "Epoch: 195/200-Batch\\h: 95/938--D.loss:0.3366,G.loss:1.7720\n",
            "Epoch: 195/200-Batch\\h: 96/938--D.loss:0.3590,G.loss:1.7558\n",
            "Epoch: 195/200-Batch\\h: 97/938--D.loss:0.3208,G.loss:1.5493\n",
            "Epoch: 195/200-Batch\\h: 98/938--D.loss:0.3484,G.loss:1.6889\n",
            "Epoch: 195/200-Batch\\h: 99/938--D.loss:0.3997,G.loss:1.9660\n",
            "Epoch: 195/200-Batch\\h: 100/938--D.loss:0.3376,G.loss:1.4576\n",
            "Epoch: 195/200-Batch\\h: 101/938--D.loss:0.4465,G.loss:1.8575\n",
            "Epoch: 195/200-Batch\\h: 102/938--D.loss:0.3008,G.loss:1.4744\n",
            "Epoch: 195/200-Batch\\h: 103/938--D.loss:0.3429,G.loss:1.6789\n",
            "Epoch: 195/200-Batch\\h: 104/938--D.loss:0.3978,G.loss:1.8014\n",
            "Epoch: 195/200-Batch\\h: 105/938--D.loss:0.4480,G.loss:1.4534\n",
            "Epoch: 195/200-Batch\\h: 106/938--D.loss:0.3794,G.loss:1.3238\n",
            "Epoch: 195/200-Batch\\h: 107/938--D.loss:0.3325,G.loss:1.9325\n",
            "Epoch: 195/200-Batch\\h: 108/938--D.loss:0.3702,G.loss:1.7893\n",
            "Epoch: 195/200-Batch\\h: 109/938--D.loss:0.4161,G.loss:1.3100\n",
            "Epoch: 195/200-Batch\\h: 110/938--D.loss:0.4833,G.loss:1.9850\n",
            "Epoch: 195/200-Batch\\h: 111/938--D.loss:0.3874,G.loss:1.5609\n",
            "Epoch: 195/200-Batch\\h: 112/938--D.loss:0.3885,G.loss:1.2805\n",
            "Epoch: 195/200-Batch\\h: 113/938--D.loss:0.3610,G.loss:1.4151\n",
            "Epoch: 195/200-Batch\\h: 114/938--D.loss:0.3581,G.loss:1.9317\n",
            "Epoch: 195/200-Batch\\h: 115/938--D.loss:0.3081,G.loss:1.7363\n",
            "Epoch: 195/200-Batch\\h: 116/938--D.loss:0.4097,G.loss:1.8851\n",
            "Epoch: 195/200-Batch\\h: 117/938--D.loss:0.3829,G.loss:1.4068\n",
            "Epoch: 195/200-Batch\\h: 118/938--D.loss:0.4089,G.loss:1.5077\n",
            "Epoch: 195/200-Batch\\h: 119/938--D.loss:0.3891,G.loss:1.6085\n",
            "Epoch: 195/200-Batch\\h: 120/938--D.loss:0.2963,G.loss:1.6132\n",
            "Epoch: 195/200-Batch\\h: 121/938--D.loss:0.3585,G.loss:1.5621\n",
            "Epoch: 195/200-Batch\\h: 122/938--D.loss:0.3612,G.loss:1.6795\n",
            "Epoch: 195/200-Batch\\h: 123/938--D.loss:0.4150,G.loss:1.6218\n",
            "Epoch: 195/200-Batch\\h: 124/938--D.loss:0.3125,G.loss:1.4876\n",
            "Epoch: 195/200-Batch\\h: 125/938--D.loss:0.3804,G.loss:1.7127\n",
            "Epoch: 195/200-Batch\\h: 126/938--D.loss:0.2885,G.loss:2.0043\n",
            "Epoch: 195/200-Batch\\h: 127/938--D.loss:0.3449,G.loss:1.9207\n",
            "Epoch: 195/200-Batch\\h: 128/938--D.loss:0.3411,G.loss:1.3277\n",
            "Epoch: 195/200-Batch\\h: 129/938--D.loss:0.2989,G.loss:1.6295\n",
            "Epoch: 195/200-Batch\\h: 130/938--D.loss:0.3142,G.loss:1.9549\n",
            "Epoch: 195/200-Batch\\h: 131/938--D.loss:0.4507,G.loss:2.2050\n",
            "Epoch: 195/200-Batch\\h: 132/938--D.loss:0.3455,G.loss:1.2124\n",
            "Epoch: 195/200-Batch\\h: 133/938--D.loss:0.3794,G.loss:1.5647\n",
            "Epoch: 195/200-Batch\\h: 134/938--D.loss:0.3186,G.loss:1.8917\n",
            "Epoch: 195/200-Batch\\h: 135/938--D.loss:0.4041,G.loss:1.6958\n",
            "Epoch: 195/200-Batch\\h: 136/938--D.loss:0.3803,G.loss:1.4856\n",
            "Epoch: 195/200-Batch\\h: 137/938--D.loss:0.3495,G.loss:1.8888\n",
            "Epoch: 195/200-Batch\\h: 138/938--D.loss:0.3526,G.loss:1.6408\n",
            "Epoch: 195/200-Batch\\h: 139/938--D.loss:0.4104,G.loss:1.4260\n",
            "Epoch: 195/200-Batch\\h: 140/938--D.loss:0.3789,G.loss:1.5390\n",
            "Epoch: 195/200-Batch\\h: 141/938--D.loss:0.3520,G.loss:1.5669\n",
            "Epoch: 195/200-Batch\\h: 142/938--D.loss:0.3810,G.loss:2.1557\n",
            "Epoch: 195/200-Batch\\h: 143/938--D.loss:0.2795,G.loss:1.5885\n",
            "Epoch: 195/200-Batch\\h: 144/938--D.loss:0.3894,G.loss:1.3950\n",
            "Epoch: 195/200-Batch\\h: 145/938--D.loss:0.3863,G.loss:1.9006\n",
            "Epoch: 195/200-Batch\\h: 146/938--D.loss:0.3643,G.loss:1.6732\n",
            "Epoch: 195/200-Batch\\h: 147/938--D.loss:0.4293,G.loss:1.3142\n",
            "Epoch: 195/200-Batch\\h: 148/938--D.loss:0.3088,G.loss:1.7679\n",
            "Epoch: 195/200-Batch\\h: 149/938--D.loss:0.4287,G.loss:1.9454\n",
            "Epoch: 195/200-Batch\\h: 150/938--D.loss:0.3516,G.loss:1.5733\n",
            "Epoch: 195/200-Batch\\h: 151/938--D.loss:0.3608,G.loss:1.2755\n",
            "Epoch: 195/200-Batch\\h: 152/938--D.loss:0.4070,G.loss:1.7578\n",
            "Epoch: 195/200-Batch\\h: 153/938--D.loss:0.2893,G.loss:1.7649\n",
            "Epoch: 195/200-Batch\\h: 154/938--D.loss:0.3556,G.loss:1.7259\n",
            "Epoch: 195/200-Batch\\h: 155/938--D.loss:0.4175,G.loss:1.3654\n",
            "Epoch: 195/200-Batch\\h: 156/938--D.loss:0.3783,G.loss:1.7258\n",
            "Epoch: 195/200-Batch\\h: 157/938--D.loss:0.3831,G.loss:1.6494\n",
            "Epoch: 195/200-Batch\\h: 158/938--D.loss:0.3293,G.loss:1.6172\n",
            "Epoch: 195/200-Batch\\h: 159/938--D.loss:0.3391,G.loss:1.6415\n",
            "Epoch: 195/200-Batch\\h: 160/938--D.loss:0.5269,G.loss:1.7219\n",
            "Epoch: 195/200-Batch\\h: 161/938--D.loss:0.3271,G.loss:1.5356\n",
            "Epoch: 195/200-Batch\\h: 162/938--D.loss:0.2944,G.loss:1.5602\n",
            "Epoch: 195/200-Batch\\h: 163/938--D.loss:0.2893,G.loss:1.6774\n",
            "Epoch: 195/200-Batch\\h: 164/938--D.loss:0.3711,G.loss:1.9060\n",
            "Epoch: 195/200-Batch\\h: 165/938--D.loss:0.3665,G.loss:1.4588\n",
            "Epoch: 195/200-Batch\\h: 166/938--D.loss:0.3558,G.loss:1.8185\n",
            "Epoch: 195/200-Batch\\h: 167/938--D.loss:0.3953,G.loss:1.6476\n",
            "Epoch: 195/200-Batch\\h: 168/938--D.loss:0.3393,G.loss:1.6099\n",
            "Epoch: 195/200-Batch\\h: 169/938--D.loss:0.3780,G.loss:1.6024\n",
            "Epoch: 195/200-Batch\\h: 170/938--D.loss:0.3411,G.loss:1.7362\n",
            "Epoch: 195/200-Batch\\h: 171/938--D.loss:0.3454,G.loss:1.4677\n",
            "Epoch: 195/200-Batch\\h: 172/938--D.loss:0.3328,G.loss:1.8160\n",
            "Epoch: 195/200-Batch\\h: 173/938--D.loss:0.2808,G.loss:1.6636\n",
            "Epoch: 195/200-Batch\\h: 174/938--D.loss:0.3632,G.loss:1.6486\n",
            "Epoch: 195/200-Batch\\h: 175/938--D.loss:0.3125,G.loss:1.9850\n",
            "Epoch: 195/200-Batch\\h: 176/938--D.loss:0.3943,G.loss:1.8632\n",
            "Epoch: 195/200-Batch\\h: 177/938--D.loss:0.4266,G.loss:1.3169\n",
            "Epoch: 195/200-Batch\\h: 178/938--D.loss:0.3108,G.loss:1.6193\n",
            "Epoch: 195/200-Batch\\h: 179/938--D.loss:0.3198,G.loss:2.0678\n",
            "Epoch: 195/200-Batch\\h: 180/938--D.loss:0.3930,G.loss:1.5206\n",
            "Epoch: 195/200-Batch\\h: 181/938--D.loss:0.3584,G.loss:1.4888\n",
            "Epoch: 195/200-Batch\\h: 182/938--D.loss:0.4510,G.loss:1.4235\n",
            "Epoch: 195/200-Batch\\h: 183/938--D.loss:0.3237,G.loss:1.7140\n",
            "Epoch: 195/200-Batch\\h: 184/938--D.loss:0.3259,G.loss:1.8294\n",
            "Epoch: 195/200-Batch\\h: 185/938--D.loss:0.3643,G.loss:1.7595\n",
            "Epoch: 195/200-Batch\\h: 186/938--D.loss:0.2753,G.loss:1.7379\n",
            "Epoch: 195/200-Batch\\h: 187/938--D.loss:0.3487,G.loss:1.7125\n",
            "Epoch: 195/200-Batch\\h: 188/938--D.loss:0.3897,G.loss:1.6988\n",
            "Epoch: 195/200-Batch\\h: 189/938--D.loss:0.3260,G.loss:1.7660\n",
            "Epoch: 195/200-Batch\\h: 190/938--D.loss:0.3164,G.loss:1.4856\n",
            "Epoch: 195/200-Batch\\h: 191/938--D.loss:0.3509,G.loss:1.8775\n",
            "Epoch: 195/200-Batch\\h: 192/938--D.loss:0.4459,G.loss:1.4692\n",
            "Epoch: 195/200-Batch\\h: 193/938--D.loss:0.3651,G.loss:1.8488\n",
            "Epoch: 195/200-Batch\\h: 194/938--D.loss:0.3663,G.loss:1.9945\n",
            "Epoch: 195/200-Batch\\h: 195/938--D.loss:0.2690,G.loss:1.5830\n",
            "Epoch: 195/200-Batch\\h: 196/938--D.loss:0.3048,G.loss:1.7428\n",
            "Epoch: 195/200-Batch\\h: 197/938--D.loss:0.3291,G.loss:1.8757\n",
            "Epoch: 195/200-Batch\\h: 198/938--D.loss:0.3405,G.loss:1.9878\n",
            "Epoch: 195/200-Batch\\h: 199/938--D.loss:0.3447,G.loss:1.7521\n",
            "Epoch: 195/200-Batch\\h: 200/938--D.loss:0.3552,G.loss:1.2521\n",
            "Epoch: 195/200-Batch\\h: 201/938--D.loss:0.3380,G.loss:1.7609\n",
            "Epoch: 195/200-Batch\\h: 202/938--D.loss:0.3729,G.loss:1.8210\n",
            "Epoch: 195/200-Batch\\h: 203/938--D.loss:0.3740,G.loss:1.5605\n",
            "Epoch: 195/200-Batch\\h: 204/938--D.loss:0.3125,G.loss:1.4932\n",
            "Epoch: 195/200-Batch\\h: 205/938--D.loss:0.3641,G.loss:1.7232\n",
            "Epoch: 195/200-Batch\\h: 206/938--D.loss:0.3942,G.loss:1.8272\n",
            "Epoch: 195/200-Batch\\h: 207/938--D.loss:0.3361,G.loss:1.5584\n",
            "Epoch: 195/200-Batch\\h: 208/938--D.loss:0.3282,G.loss:1.3398\n",
            "Epoch: 195/200-Batch\\h: 209/938--D.loss:0.3564,G.loss:1.7084\n",
            "Epoch: 195/200-Batch\\h: 210/938--D.loss:0.3152,G.loss:1.8022\n",
            "Epoch: 195/200-Batch\\h: 211/938--D.loss:0.3663,G.loss:1.9429\n",
            "Epoch: 195/200-Batch\\h: 212/938--D.loss:0.4210,G.loss:1.3349\n",
            "Epoch: 195/200-Batch\\h: 213/938--D.loss:0.3661,G.loss:1.6414\n",
            "Epoch: 195/200-Batch\\h: 214/938--D.loss:0.2644,G.loss:1.7500\n",
            "Epoch: 195/200-Batch\\h: 215/938--D.loss:0.2597,G.loss:1.7424\n",
            "Epoch: 195/200-Batch\\h: 216/938--D.loss:0.4207,G.loss:1.9970\n",
            "Epoch: 195/200-Batch\\h: 217/938--D.loss:0.3095,G.loss:1.7506\n",
            "Epoch: 195/200-Batch\\h: 218/938--D.loss:0.3364,G.loss:1.6542\n",
            "Epoch: 195/200-Batch\\h: 219/938--D.loss:0.4441,G.loss:1.5295\n",
            "Epoch: 195/200-Batch\\h: 220/938--D.loss:0.3800,G.loss:1.3819\n",
            "Epoch: 195/200-Batch\\h: 221/938--D.loss:0.2565,G.loss:1.5688\n",
            "Epoch: 195/200-Batch\\h: 222/938--D.loss:0.3118,G.loss:2.0860\n",
            "Epoch: 195/200-Batch\\h: 223/938--D.loss:0.3237,G.loss:1.9539\n",
            "Epoch: 195/200-Batch\\h: 224/938--D.loss:0.3412,G.loss:1.9894\n",
            "Epoch: 195/200-Batch\\h: 225/938--D.loss:0.3688,G.loss:1.5468\n",
            "Epoch: 195/200-Batch\\h: 226/938--D.loss:0.3412,G.loss:1.6187\n",
            "Epoch: 195/200-Batch\\h: 227/938--D.loss:0.3435,G.loss:1.8717\n",
            "Epoch: 195/200-Batch\\h: 228/938--D.loss:0.3593,G.loss:1.8148\n",
            "Epoch: 195/200-Batch\\h: 229/938--D.loss:0.3845,G.loss:1.4210\n",
            "Epoch: 195/200-Batch\\h: 230/938--D.loss:0.3321,G.loss:1.5450\n",
            "Epoch: 195/200-Batch\\h: 231/938--D.loss:0.3543,G.loss:1.9785\n",
            "Epoch: 195/200-Batch\\h: 232/938--D.loss:0.3480,G.loss:1.9899\n",
            "Epoch: 195/200-Batch\\h: 233/938--D.loss:0.3303,G.loss:1.4310\n",
            "Epoch: 195/200-Batch\\h: 234/938--D.loss:0.3431,G.loss:1.4505\n",
            "Epoch: 195/200-Batch\\h: 235/938--D.loss:0.3833,G.loss:1.9478\n",
            "Epoch: 195/200-Batch\\h: 236/938--D.loss:0.3430,G.loss:1.7485\n",
            "Epoch: 195/200-Batch\\h: 237/938--D.loss:0.4372,G.loss:1.5641\n",
            "Epoch: 195/200-Batch\\h: 238/938--D.loss:0.2723,G.loss:1.7120\n",
            "Epoch: 195/200-Batch\\h: 239/938--D.loss:0.3847,G.loss:1.9087\n",
            "Epoch: 195/200-Batch\\h: 240/938--D.loss:0.3344,G.loss:1.5722\n",
            "Epoch: 195/200-Batch\\h: 241/938--D.loss:0.3311,G.loss:1.5460\n",
            "Epoch: 195/200-Batch\\h: 242/938--D.loss:0.3441,G.loss:1.7482\n",
            "Epoch: 195/200-Batch\\h: 243/938--D.loss:0.2628,G.loss:1.8836\n",
            "Epoch: 195/200-Batch\\h: 244/938--D.loss:0.3200,G.loss:1.8016\n",
            "Epoch: 195/200-Batch\\h: 245/938--D.loss:0.2880,G.loss:2.0126\n",
            "Epoch: 195/200-Batch\\h: 246/938--D.loss:0.3698,G.loss:1.6881\n",
            "Epoch: 195/200-Batch\\h: 247/938--D.loss:0.4040,G.loss:1.5804\n",
            "Epoch: 195/200-Batch\\h: 248/938--D.loss:0.3355,G.loss:1.8748\n",
            "Epoch: 195/200-Batch\\h: 249/938--D.loss:0.4859,G.loss:2.0543\n",
            "Epoch: 195/200-Batch\\h: 250/938--D.loss:0.3795,G.loss:1.3488\n",
            "Epoch: 195/200-Batch\\h: 251/938--D.loss:0.3927,G.loss:1.4709\n",
            "Epoch: 195/200-Batch\\h: 252/938--D.loss:0.2926,G.loss:1.8680\n",
            "Epoch: 195/200-Batch\\h: 253/938--D.loss:0.4203,G.loss:2.0596\n",
            "Epoch: 195/200-Batch\\h: 254/938--D.loss:0.3658,G.loss:1.3835\n",
            "Epoch: 195/200-Batch\\h: 255/938--D.loss:0.3108,G.loss:1.5028\n",
            "Epoch: 195/200-Batch\\h: 256/938--D.loss:0.3305,G.loss:2.0325\n",
            "Epoch: 195/200-Batch\\h: 257/938--D.loss:0.3586,G.loss:2.2195\n",
            "Epoch: 195/200-Batch\\h: 258/938--D.loss:0.3563,G.loss:1.7478\n",
            "Epoch: 195/200-Batch\\h: 259/938--D.loss:0.4342,G.loss:1.4447\n",
            "Epoch: 195/200-Batch\\h: 260/938--D.loss:0.4370,G.loss:1.4835\n",
            "Epoch: 195/200-Batch\\h: 261/938--D.loss:0.4192,G.loss:1.9070\n",
            "Epoch: 195/200-Batch\\h: 262/938--D.loss:0.3342,G.loss:1.7033\n",
            "Epoch: 195/200-Batch\\h: 263/938--D.loss:0.3996,G.loss:1.6319\n",
            "Epoch: 195/200-Batch\\h: 264/938--D.loss:0.3251,G.loss:1.4832\n",
            "Epoch: 195/200-Batch\\h: 265/938--D.loss:0.3716,G.loss:1.6455\n",
            "Epoch: 195/200-Batch\\h: 266/938--D.loss:0.4897,G.loss:2.0010\n",
            "Epoch: 195/200-Batch\\h: 267/938--D.loss:0.3191,G.loss:1.5352\n",
            "Epoch: 195/200-Batch\\h: 268/938--D.loss:0.3288,G.loss:1.4741\n",
            "Epoch: 195/200-Batch\\h: 269/938--D.loss:0.4102,G.loss:1.6799\n",
            "Epoch: 195/200-Batch\\h: 270/938--D.loss:0.3771,G.loss:1.3267\n",
            "Epoch: 195/200-Batch\\h: 271/938--D.loss:0.2940,G.loss:1.6551\n",
            "Epoch: 195/200-Batch\\h: 272/938--D.loss:0.3989,G.loss:1.6632\n",
            "Epoch: 195/200-Batch\\h: 273/938--D.loss:0.3361,G.loss:1.9232\n",
            "Epoch: 195/200-Batch\\h: 274/938--D.loss:0.3266,G.loss:1.7178\n",
            "Epoch: 195/200-Batch\\h: 275/938--D.loss:0.3612,G.loss:1.6001\n",
            "Epoch: 195/200-Batch\\h: 276/938--D.loss:0.4301,G.loss:1.4307\n",
            "Epoch: 195/200-Batch\\h: 277/938--D.loss:0.4243,G.loss:1.7656\n",
            "Epoch: 195/200-Batch\\h: 278/938--D.loss:0.3871,G.loss:1.4155\n",
            "Epoch: 195/200-Batch\\h: 279/938--D.loss:0.3843,G.loss:1.7143\n",
            "Epoch: 195/200-Batch\\h: 280/938--D.loss:0.4082,G.loss:1.2948\n",
            "Epoch: 195/200-Batch\\h: 281/938--D.loss:0.3596,G.loss:1.5809\n",
            "Epoch: 195/200-Batch\\h: 282/938--D.loss:0.3337,G.loss:2.0082\n",
            "Epoch: 195/200-Batch\\h: 283/938--D.loss:0.3340,G.loss:1.4908\n",
            "Epoch: 195/200-Batch\\h: 284/938--D.loss:0.3556,G.loss:1.9735\n",
            "Epoch: 195/200-Batch\\h: 285/938--D.loss:0.3239,G.loss:1.5803\n",
            "Epoch: 195/200-Batch\\h: 286/938--D.loss:0.3658,G.loss:1.6185\n",
            "Epoch: 195/200-Batch\\h: 287/938--D.loss:0.3397,G.loss:1.8144\n",
            "Epoch: 195/200-Batch\\h: 288/938--D.loss:0.3353,G.loss:1.8048\n",
            "Epoch: 195/200-Batch\\h: 289/938--D.loss:0.3812,G.loss:1.5637\n",
            "Epoch: 195/200-Batch\\h: 290/938--D.loss:0.4562,G.loss:1.4366\n",
            "Epoch: 195/200-Batch\\h: 291/938--D.loss:0.3782,G.loss:1.6375\n",
            "Epoch: 195/200-Batch\\h: 292/938--D.loss:0.2928,G.loss:1.6258\n",
            "Epoch: 195/200-Batch\\h: 293/938--D.loss:0.4246,G.loss:1.9349\n",
            "Epoch: 195/200-Batch\\h: 294/938--D.loss:0.3483,G.loss:1.4955\n",
            "Epoch: 195/200-Batch\\h: 295/938--D.loss:0.3944,G.loss:1.3716\n",
            "Epoch: 195/200-Batch\\h: 296/938--D.loss:0.3837,G.loss:1.5384\n",
            "Epoch: 195/200-Batch\\h: 297/938--D.loss:0.3929,G.loss:1.6853\n",
            "Epoch: 195/200-Batch\\h: 298/938--D.loss:0.3928,G.loss:1.6873\n",
            "Epoch: 195/200-Batch\\h: 299/938--D.loss:0.3051,G.loss:1.6676\n",
            "Epoch: 195/200-Batch\\h: 300/938--D.loss:0.4495,G.loss:1.8020\n",
            "Epoch: 195/200-Batch\\h: 301/938--D.loss:0.4552,G.loss:1.4799\n",
            "Epoch: 195/200-Batch\\h: 302/938--D.loss:0.3682,G.loss:1.3355\n",
            "Epoch: 195/200-Batch\\h: 303/938--D.loss:0.4089,G.loss:1.6815\n",
            "Epoch: 195/200-Batch\\h: 304/938--D.loss:0.3844,G.loss:1.6524\n",
            "Epoch: 195/200-Batch\\h: 305/938--D.loss:0.3434,G.loss:1.5060\n",
            "Epoch: 195/200-Batch\\h: 306/938--D.loss:0.3143,G.loss:1.7530\n",
            "Epoch: 195/200-Batch\\h: 307/938--D.loss:0.3328,G.loss:1.8229\n",
            "Epoch: 195/200-Batch\\h: 308/938--D.loss:0.3654,G.loss:1.4882\n",
            "Epoch: 195/200-Batch\\h: 309/938--D.loss:0.3747,G.loss:1.6573\n",
            "Epoch: 195/200-Batch\\h: 310/938--D.loss:0.3324,G.loss:1.8001\n",
            "Epoch: 195/200-Batch\\h: 311/938--D.loss:0.3209,G.loss:1.7874\n",
            "Epoch: 195/200-Batch\\h: 312/938--D.loss:0.3026,G.loss:1.5329\n",
            "Epoch: 195/200-Batch\\h: 313/938--D.loss:0.3513,G.loss:1.7897\n",
            "Epoch: 195/200-Batch\\h: 314/938--D.loss:0.3589,G.loss:1.9932\n",
            "Epoch: 195/200-Batch\\h: 315/938--D.loss:0.3477,G.loss:1.7190\n",
            "Epoch: 195/200-Batch\\h: 316/938--D.loss:0.3571,G.loss:1.5698\n",
            "Epoch: 195/200-Batch\\h: 317/938--D.loss:0.3333,G.loss:1.7286\n",
            "Epoch: 195/200-Batch\\h: 318/938--D.loss:0.3132,G.loss:1.7347\n",
            "Epoch: 195/200-Batch\\h: 319/938--D.loss:0.3803,G.loss:1.6430\n",
            "Epoch: 195/200-Batch\\h: 320/938--D.loss:0.3818,G.loss:1.6654\n",
            "Epoch: 195/200-Batch\\h: 321/938--D.loss:0.3863,G.loss:1.7056\n",
            "Epoch: 195/200-Batch\\h: 322/938--D.loss:0.3470,G.loss:1.4864\n",
            "Epoch: 195/200-Batch\\h: 323/938--D.loss:0.3341,G.loss:1.7017\n",
            "Epoch: 195/200-Batch\\h: 324/938--D.loss:0.3343,G.loss:1.5757\n",
            "Epoch: 195/200-Batch\\h: 325/938--D.loss:0.2764,G.loss:1.6700\n",
            "Epoch: 195/200-Batch\\h: 326/938--D.loss:0.3046,G.loss:1.9429\n",
            "Epoch: 195/200-Batch\\h: 327/938--D.loss:0.3564,G.loss:1.9352\n",
            "Epoch: 195/200-Batch\\h: 328/938--D.loss:0.3214,G.loss:2.0499\n",
            "Epoch: 195/200-Batch\\h: 329/938--D.loss:0.3651,G.loss:1.5960\n",
            "Epoch: 195/200-Batch\\h: 330/938--D.loss:0.3331,G.loss:1.9741\n",
            "Epoch: 195/200-Batch\\h: 331/938--D.loss:0.2746,G.loss:1.9095\n",
            "Epoch: 195/200-Batch\\h: 332/938--D.loss:0.3449,G.loss:1.6400\n",
            "Epoch: 195/200-Batch\\h: 333/938--D.loss:0.5284,G.loss:1.4080\n",
            "Epoch: 195/200-Batch\\h: 334/938--D.loss:0.3835,G.loss:1.7936\n",
            "Epoch: 195/200-Batch\\h: 335/938--D.loss:0.3314,G.loss:1.5180\n",
            "Epoch: 195/200-Batch\\h: 336/938--D.loss:0.3099,G.loss:2.0057\n",
            "Epoch: 195/200-Batch\\h: 337/938--D.loss:0.3152,G.loss:1.6863\n",
            "Epoch: 195/200-Batch\\h: 338/938--D.loss:0.3303,G.loss:1.4515\n",
            "Epoch: 195/200-Batch\\h: 339/938--D.loss:0.4380,G.loss:2.2173\n",
            "Epoch: 195/200-Batch\\h: 340/938--D.loss:0.2736,G.loss:1.6632\n",
            "Epoch: 195/200-Batch\\h: 341/938--D.loss:0.4309,G.loss:1.7043\n",
            "Epoch: 195/200-Batch\\h: 342/938--D.loss:0.3288,G.loss:1.7491\n",
            "Epoch: 195/200-Batch\\h: 343/938--D.loss:0.4160,G.loss:1.6957\n",
            "Epoch: 195/200-Batch\\h: 344/938--D.loss:0.3824,G.loss:1.2833\n",
            "Epoch: 195/200-Batch\\h: 345/938--D.loss:0.3376,G.loss:1.6845\n",
            "Epoch: 195/200-Batch\\h: 346/938--D.loss:0.3057,G.loss:1.6305\n",
            "Epoch: 195/200-Batch\\h: 347/938--D.loss:0.3416,G.loss:1.5651\n",
            "Epoch: 195/200-Batch\\h: 348/938--D.loss:0.4559,G.loss:2.2512\n",
            "Epoch: 195/200-Batch\\h: 349/938--D.loss:0.3893,G.loss:1.3409\n",
            "Epoch: 195/200-Batch\\h: 350/938--D.loss:0.4177,G.loss:1.8897\n",
            "Epoch: 195/200-Batch\\h: 351/938--D.loss:0.3293,G.loss:1.6994\n",
            "Epoch: 195/200-Batch\\h: 352/938--D.loss:0.3124,G.loss:1.6450\n",
            "Epoch: 195/200-Batch\\h: 353/938--D.loss:0.3532,G.loss:1.6475\n",
            "Epoch: 195/200-Batch\\h: 354/938--D.loss:0.3706,G.loss:1.4231\n",
            "Epoch: 195/200-Batch\\h: 355/938--D.loss:0.2852,G.loss:1.7650\n",
            "Epoch: 195/200-Batch\\h: 356/938--D.loss:0.3964,G.loss:2.0658\n",
            "Epoch: 195/200-Batch\\h: 357/938--D.loss:0.3983,G.loss:1.7520\n",
            "Epoch: 195/200-Batch\\h: 358/938--D.loss:0.3571,G.loss:1.2883\n",
            "Epoch: 195/200-Batch\\h: 359/938--D.loss:0.2646,G.loss:1.6728\n",
            "Epoch: 195/200-Batch\\h: 360/938--D.loss:0.3292,G.loss:2.1188\n",
            "Epoch: 195/200-Batch\\h: 361/938--D.loss:0.3299,G.loss:1.9751\n",
            "Epoch: 195/200-Batch\\h: 362/938--D.loss:0.3738,G.loss:1.7373\n",
            "Epoch: 195/200-Batch\\h: 363/938--D.loss:0.3785,G.loss:1.4438\n",
            "Epoch: 195/200-Batch\\h: 364/938--D.loss:0.4002,G.loss:2.0445\n",
            "Epoch: 195/200-Batch\\h: 365/938--D.loss:0.3628,G.loss:1.7592\n",
            "Epoch: 195/200-Batch\\h: 366/938--D.loss:0.3204,G.loss:1.6508\n",
            "Epoch: 195/200-Batch\\h: 367/938--D.loss:0.3430,G.loss:1.5149\n",
            "Epoch: 195/200-Batch\\h: 368/938--D.loss:0.3148,G.loss:2.1408\n",
            "Epoch: 195/200-Batch\\h: 369/938--D.loss:0.3872,G.loss:1.7002\n",
            "Epoch: 195/200-Batch\\h: 370/938--D.loss:0.3687,G.loss:1.4432\n",
            "Epoch: 195/200-Batch\\h: 371/938--D.loss:0.3519,G.loss:1.7138\n",
            "Epoch: 195/200-Batch\\h: 372/938--D.loss:0.3169,G.loss:1.7618\n",
            "Epoch: 195/200-Batch\\h: 373/938--D.loss:0.3597,G.loss:1.7090\n",
            "Epoch: 195/200-Batch\\h: 374/938--D.loss:0.3263,G.loss:1.6635\n",
            "Epoch: 195/200-Batch\\h: 375/938--D.loss:0.2777,G.loss:1.9121\n",
            "Epoch: 195/200-Batch\\h: 376/938--D.loss:0.3545,G.loss:1.8319\n",
            "Epoch: 195/200-Batch\\h: 377/938--D.loss:0.3549,G.loss:1.6280\n",
            "Epoch: 195/200-Batch\\h: 378/938--D.loss:0.4180,G.loss:1.5160\n",
            "Epoch: 195/200-Batch\\h: 379/938--D.loss:0.3277,G.loss:1.5885\n",
            "Epoch: 195/200-Batch\\h: 380/938--D.loss:0.3912,G.loss:1.7124\n",
            "Epoch: 195/200-Batch\\h: 381/938--D.loss:0.4223,G.loss:1.6160\n",
            "Epoch: 195/200-Batch\\h: 382/938--D.loss:0.3713,G.loss:1.4251\n",
            "Epoch: 195/200-Batch\\h: 383/938--D.loss:0.3233,G.loss:1.3953\n",
            "Epoch: 195/200-Batch\\h: 384/938--D.loss:0.3626,G.loss:1.5553\n",
            "Epoch: 195/200-Batch\\h: 385/938--D.loss:0.2704,G.loss:1.8816\n",
            "Epoch: 195/200-Batch\\h: 386/938--D.loss:0.4438,G.loss:1.9463\n",
            "Epoch: 195/200-Batch\\h: 387/938--D.loss:0.3393,G.loss:1.4588\n",
            "Epoch: 195/200-Batch\\h: 388/938--D.loss:0.3610,G.loss:1.5410\n",
            "Epoch: 195/200-Batch\\h: 389/938--D.loss:0.3464,G.loss:1.6757\n",
            "Epoch: 195/200-Batch\\h: 390/938--D.loss:0.3873,G.loss:1.5168\n",
            "Epoch: 195/200-Batch\\h: 391/938--D.loss:0.3364,G.loss:1.5078\n",
            "Epoch: 195/200-Batch\\h: 392/938--D.loss:0.3835,G.loss:1.7400\n",
            "Epoch: 195/200-Batch\\h: 393/938--D.loss:0.3810,G.loss:1.7560\n",
            "Epoch: 195/200-Batch\\h: 394/938--D.loss:0.3826,G.loss:1.4760\n",
            "Epoch: 195/200-Batch\\h: 395/938--D.loss:0.2957,G.loss:1.5834\n",
            "Epoch: 195/200-Batch\\h: 396/938--D.loss:0.4083,G.loss:1.9072\n",
            "Epoch: 195/200-Batch\\h: 397/938--D.loss:0.3491,G.loss:1.6464\n",
            "Epoch: 195/200-Batch\\h: 398/938--D.loss:0.2949,G.loss:1.8388\n",
            "Epoch: 195/200-Batch\\h: 399/938--D.loss:0.3624,G.loss:1.7713\n",
            "Epoch: 195/200-Batch\\h: 400/938--D.loss:0.3812,G.loss:1.8953\n",
            "Epoch: 195/200-Batch\\h: 401/938--D.loss:0.3506,G.loss:1.7882\n",
            "Epoch: 195/200-Batch\\h: 402/938--D.loss:0.4021,G.loss:1.4823\n",
            "Epoch: 195/200-Batch\\h: 403/938--D.loss:0.4204,G.loss:1.5831\n",
            "Epoch: 195/200-Batch\\h: 404/938--D.loss:0.3123,G.loss:1.3980\n",
            "Epoch: 195/200-Batch\\h: 405/938--D.loss:0.4612,G.loss:1.9786\n",
            "Epoch: 195/200-Batch\\h: 406/938--D.loss:0.4055,G.loss:1.3840\n",
            "Epoch: 195/200-Batch\\h: 407/938--D.loss:0.2916,G.loss:1.6013\n",
            "Epoch: 195/200-Batch\\h: 408/938--D.loss:0.4401,G.loss:1.7414\n",
            "Epoch: 195/200-Batch\\h: 409/938--D.loss:0.3951,G.loss:1.6345\n",
            "Epoch: 195/200-Batch\\h: 410/938--D.loss:0.3861,G.loss:1.7530\n",
            "Epoch: 195/200-Batch\\h: 411/938--D.loss:0.3200,G.loss:1.4490\n",
            "Epoch: 195/200-Batch\\h: 412/938--D.loss:0.3521,G.loss:1.7246\n",
            "Epoch: 195/200-Batch\\h: 413/938--D.loss:0.3458,G.loss:1.8963\n",
            "Epoch: 195/200-Batch\\h: 414/938--D.loss:0.3594,G.loss:1.6766\n",
            "Epoch: 195/200-Batch\\h: 415/938--D.loss:0.3688,G.loss:1.5229\n",
            "Epoch: 195/200-Batch\\h: 416/938--D.loss:0.2849,G.loss:1.9773\n",
            "Epoch: 195/200-Batch\\h: 417/938--D.loss:0.4150,G.loss:2.1002\n",
            "Epoch: 195/200-Batch\\h: 418/938--D.loss:0.3528,G.loss:1.5640\n",
            "Epoch: 195/200-Batch\\h: 419/938--D.loss:0.3618,G.loss:1.4020\n",
            "Epoch: 195/200-Batch\\h: 420/938--D.loss:0.3849,G.loss:1.7552\n",
            "Epoch: 195/200-Batch\\h: 421/938--D.loss:0.2672,G.loss:1.9775\n",
            "Epoch: 195/200-Batch\\h: 422/938--D.loss:0.3917,G.loss:1.7169\n",
            "Epoch: 195/200-Batch\\h: 423/938--D.loss:0.3026,G.loss:1.5049\n",
            "Epoch: 195/200-Batch\\h: 424/938--D.loss:0.4198,G.loss:1.6123\n",
            "Epoch: 195/200-Batch\\h: 425/938--D.loss:0.3562,G.loss:1.8430\n",
            "Epoch: 195/200-Batch\\h: 426/938--D.loss:0.3538,G.loss:1.8211\n",
            "Epoch: 195/200-Batch\\h: 427/938--D.loss:0.3931,G.loss:1.5496\n",
            "Epoch: 195/200-Batch\\h: 428/938--D.loss:0.3694,G.loss:1.6760\n",
            "Epoch: 195/200-Batch\\h: 429/938--D.loss:0.4437,G.loss:1.6139\n",
            "Epoch: 195/200-Batch\\h: 430/938--D.loss:0.3750,G.loss:1.4496\n",
            "Epoch: 195/200-Batch\\h: 431/938--D.loss:0.3795,G.loss:1.3652\n",
            "Epoch: 195/200-Batch\\h: 432/938--D.loss:0.3214,G.loss:1.5878\n",
            "Epoch: 195/200-Batch\\h: 433/938--D.loss:0.3838,G.loss:1.8098\n",
            "Epoch: 195/200-Batch\\h: 434/938--D.loss:0.3050,G.loss:1.7268\n",
            "Epoch: 195/200-Batch\\h: 435/938--D.loss:0.3766,G.loss:2.0513\n",
            "Epoch: 195/200-Batch\\h: 436/938--D.loss:0.3370,G.loss:1.5060\n",
            "Epoch: 195/200-Batch\\h: 437/938--D.loss:0.3453,G.loss:1.6122\n",
            "Epoch: 195/200-Batch\\h: 438/938--D.loss:0.3970,G.loss:1.7509\n",
            "Epoch: 195/200-Batch\\h: 439/938--D.loss:0.2609,G.loss:1.5352\n",
            "Epoch: 195/200-Batch\\h: 440/938--D.loss:0.2729,G.loss:2.0115\n",
            "Epoch: 195/200-Batch\\h: 441/938--D.loss:0.4231,G.loss:2.0286\n",
            "Epoch: 195/200-Batch\\h: 442/938--D.loss:0.3107,G.loss:1.8187\n",
            "Epoch: 195/200-Batch\\h: 443/938--D.loss:0.3130,G.loss:1.3844\n",
            "Epoch: 195/200-Batch\\h: 444/938--D.loss:0.3907,G.loss:1.6745\n",
            "Epoch: 195/200-Batch\\h: 445/938--D.loss:0.3832,G.loss:1.5408\n",
            "Epoch: 195/200-Batch\\h: 446/938--D.loss:0.3017,G.loss:1.4885\n",
            "Epoch: 195/200-Batch\\h: 447/938--D.loss:0.3670,G.loss:2.1710\n",
            "Epoch: 195/200-Batch\\h: 448/938--D.loss:0.2759,G.loss:1.6701\n",
            "Epoch: 195/200-Batch\\h: 449/938--D.loss:0.4165,G.loss:1.9083\n",
            "Epoch: 195/200-Batch\\h: 450/938--D.loss:0.4261,G.loss:1.2027\n",
            "Epoch: 195/200-Batch\\h: 451/938--D.loss:0.3302,G.loss:1.5384\n",
            "Epoch: 195/200-Batch\\h: 452/938--D.loss:0.3494,G.loss:2.0190\n",
            "Epoch: 195/200-Batch\\h: 453/938--D.loss:0.3237,G.loss:2.0646\n",
            "Epoch: 195/200-Batch\\h: 454/938--D.loss:0.3287,G.loss:1.5805\n",
            "Epoch: 195/200-Batch\\h: 455/938--D.loss:0.4238,G.loss:1.4769\n",
            "Epoch: 195/200-Batch\\h: 456/938--D.loss:0.4251,G.loss:1.8824\n",
            "Epoch: 195/200-Batch\\h: 457/938--D.loss:0.3289,G.loss:1.4393\n",
            "Epoch: 195/200-Batch\\h: 458/938--D.loss:0.2685,G.loss:1.8296\n",
            "Epoch: 195/200-Batch\\h: 459/938--D.loss:0.2902,G.loss:1.9481\n",
            "Epoch: 195/200-Batch\\h: 460/938--D.loss:0.2836,G.loss:1.9179\n",
            "Epoch: 195/200-Batch\\h: 461/938--D.loss:0.2834,G.loss:1.6258\n",
            "Epoch: 195/200-Batch\\h: 462/938--D.loss:0.3165,G.loss:1.9183\n",
            "Epoch: 195/200-Batch\\h: 463/938--D.loss:0.4674,G.loss:1.7948\n",
            "Epoch: 195/200-Batch\\h: 464/938--D.loss:0.2825,G.loss:1.7418\n",
            "Epoch: 195/200-Batch\\h: 465/938--D.loss:0.3631,G.loss:1.6465\n",
            "Epoch: 195/200-Batch\\h: 466/938--D.loss:0.3513,G.loss:1.4225\n",
            "Epoch: 195/200-Batch\\h: 467/938--D.loss:0.3514,G.loss:1.5009\n",
            "Epoch: 195/200-Batch\\h: 468/938--D.loss:0.3796,G.loss:2.1447\n",
            "Epoch: 195/200-Batch\\h: 469/938--D.loss:0.3844,G.loss:1.9664\n",
            "Epoch: 195/200-Batch\\h: 470/938--D.loss:0.3947,G.loss:1.2911\n",
            "Epoch: 195/200-Batch\\h: 471/938--D.loss:0.3106,G.loss:1.7498\n",
            "Epoch: 195/200-Batch\\h: 472/938--D.loss:0.4130,G.loss:1.7646\n",
            "Epoch: 195/200-Batch\\h: 473/938--D.loss:0.2921,G.loss:1.8204\n",
            "Epoch: 195/200-Batch\\h: 474/938--D.loss:0.3316,G.loss:1.8265\n",
            "Epoch: 195/200-Batch\\h: 475/938--D.loss:0.3904,G.loss:1.5132\n",
            "Epoch: 195/200-Batch\\h: 476/938--D.loss:0.4046,G.loss:1.3332\n",
            "Epoch: 195/200-Batch\\h: 477/938--D.loss:0.3589,G.loss:1.6416\n",
            "Epoch: 195/200-Batch\\h: 478/938--D.loss:0.3094,G.loss:1.9864\n",
            "Epoch: 195/200-Batch\\h: 479/938--D.loss:0.3260,G.loss:1.8906\n",
            "Epoch: 195/200-Batch\\h: 480/938--D.loss:0.4269,G.loss:1.3510\n",
            "Epoch: 195/200-Batch\\h: 481/938--D.loss:0.3360,G.loss:1.3734\n",
            "Epoch: 195/200-Batch\\h: 482/938--D.loss:0.3678,G.loss:1.6047\n",
            "Epoch: 195/200-Batch\\h: 483/938--D.loss:0.3999,G.loss:1.8969\n",
            "Epoch: 195/200-Batch\\h: 484/938--D.loss:0.3523,G.loss:1.6870\n",
            "Epoch: 195/200-Batch\\h: 485/938--D.loss:0.3372,G.loss:1.7457\n",
            "Epoch: 195/200-Batch\\h: 486/938--D.loss:0.3433,G.loss:1.8386\n",
            "Epoch: 195/200-Batch\\h: 487/938--D.loss:0.3760,G.loss:1.8480\n",
            "Epoch: 195/200-Batch\\h: 488/938--D.loss:0.3548,G.loss:1.5146\n",
            "Epoch: 195/200-Batch\\h: 489/938--D.loss:0.3443,G.loss:1.8630\n",
            "Epoch: 195/200-Batch\\h: 490/938--D.loss:0.3949,G.loss:1.7989\n",
            "Epoch: 195/200-Batch\\h: 491/938--D.loss:0.3021,G.loss:1.7939\n",
            "Epoch: 195/200-Batch\\h: 492/938--D.loss:0.3447,G.loss:1.6201\n",
            "Epoch: 195/200-Batch\\h: 493/938--D.loss:0.2602,G.loss:1.8041\n",
            "Epoch: 195/200-Batch\\h: 494/938--D.loss:0.2807,G.loss:1.7248\n",
            "Epoch: 195/200-Batch\\h: 495/938--D.loss:0.3712,G.loss:2.1656\n",
            "Epoch: 195/200-Batch\\h: 496/938--D.loss:0.3623,G.loss:1.9098\n",
            "Epoch: 195/200-Batch\\h: 497/938--D.loss:0.3735,G.loss:1.4800\n",
            "Epoch: 195/200-Batch\\h: 498/938--D.loss:0.3179,G.loss:1.8360\n",
            "Epoch: 195/200-Batch\\h: 499/938--D.loss:0.4524,G.loss:1.9944\n",
            "Epoch: 195/200-Batch\\h: 500/938--D.loss:0.4004,G.loss:1.5544\n",
            "Epoch: 195/200-Batch\\h: 501/938--D.loss:0.3587,G.loss:1.2778\n",
            "Epoch: 195/200-Batch\\h: 502/938--D.loss:0.3760,G.loss:1.6862\n",
            "Epoch: 195/200-Batch\\h: 503/938--D.loss:0.2878,G.loss:1.9213\n",
            "Epoch: 195/200-Batch\\h: 504/938--D.loss:0.3279,G.loss:1.5232\n",
            "Epoch: 195/200-Batch\\h: 505/938--D.loss:0.2693,G.loss:1.6940\n",
            "Epoch: 195/200-Batch\\h: 506/938--D.loss:0.3817,G.loss:2.0299\n",
            "Epoch: 195/200-Batch\\h: 507/938--D.loss:0.3329,G.loss:2.0039\n",
            "Epoch: 195/200-Batch\\h: 508/938--D.loss:0.3899,G.loss:1.4744\n",
            "Epoch: 195/200-Batch\\h: 509/938--D.loss:0.4231,G.loss:1.6271\n",
            "Epoch: 195/200-Batch\\h: 510/938--D.loss:0.3506,G.loss:1.5728\n",
            "Epoch: 195/200-Batch\\h: 511/938--D.loss:0.2686,G.loss:1.7852\n",
            "Epoch: 195/200-Batch\\h: 512/938--D.loss:0.3216,G.loss:2.1062\n",
            "Epoch: 195/200-Batch\\h: 513/938--D.loss:0.3596,G.loss:1.6168\n",
            "Epoch: 195/200-Batch\\h: 514/938--D.loss:0.2913,G.loss:1.5923\n",
            "Epoch: 195/200-Batch\\h: 515/938--D.loss:0.4462,G.loss:2.0243\n",
            "Epoch: 195/200-Batch\\h: 516/938--D.loss:0.3411,G.loss:1.6544\n",
            "Epoch: 195/200-Batch\\h: 517/938--D.loss:0.4125,G.loss:1.3662\n",
            "Epoch: 195/200-Batch\\h: 518/938--D.loss:0.3228,G.loss:1.5212\n",
            "Epoch: 195/200-Batch\\h: 519/938--D.loss:0.3419,G.loss:2.0124\n",
            "Epoch: 195/200-Batch\\h: 520/938--D.loss:0.3270,G.loss:1.6622\n",
            "Epoch: 195/200-Batch\\h: 521/938--D.loss:0.3513,G.loss:1.8979\n",
            "Epoch: 195/200-Batch\\h: 522/938--D.loss:0.3465,G.loss:1.7290\n",
            "Epoch: 195/200-Batch\\h: 523/938--D.loss:0.3833,G.loss:1.5890\n",
            "Epoch: 195/200-Batch\\h: 524/938--D.loss:0.3539,G.loss:1.8659\n",
            "Epoch: 195/200-Batch\\h: 525/938--D.loss:0.4195,G.loss:1.8100\n",
            "Epoch: 195/200-Batch\\h: 526/938--D.loss:0.3571,G.loss:1.7023\n",
            "Epoch: 195/200-Batch\\h: 527/938--D.loss:0.3168,G.loss:1.4324\n",
            "Epoch: 195/200-Batch\\h: 528/938--D.loss:0.2953,G.loss:1.8372\n",
            "Epoch: 195/200-Batch\\h: 529/938--D.loss:0.3068,G.loss:1.9345\n",
            "Epoch: 195/200-Batch\\h: 530/938--D.loss:0.3468,G.loss:1.5605\n",
            "Epoch: 195/200-Batch\\h: 531/938--D.loss:0.3678,G.loss:1.7746\n",
            "Epoch: 195/200-Batch\\h: 532/938--D.loss:0.4502,G.loss:1.5509\n",
            "Epoch: 195/200-Batch\\h: 533/938--D.loss:0.3879,G.loss:2.0134\n",
            "Epoch: 195/200-Batch\\h: 534/938--D.loss:0.3834,G.loss:1.5976\n",
            "Epoch: 195/200-Batch\\h: 535/938--D.loss:0.2765,G.loss:1.5198\n",
            "Epoch: 195/200-Batch\\h: 536/938--D.loss:0.3349,G.loss:2.2896\n",
            "Epoch: 195/200-Batch\\h: 537/938--D.loss:0.3204,G.loss:1.6114\n",
            "Epoch: 195/200-Batch\\h: 538/938--D.loss:0.2821,G.loss:1.5591\n",
            "Epoch: 195/200-Batch\\h: 539/938--D.loss:0.3850,G.loss:1.7335\n",
            "Epoch: 195/200-Batch\\h: 540/938--D.loss:0.4184,G.loss:1.7724\n",
            "Epoch: 195/200-Batch\\h: 541/938--D.loss:0.3446,G.loss:1.3535\n",
            "Epoch: 195/200-Batch\\h: 542/938--D.loss:0.3814,G.loss:1.7093\n",
            "Epoch: 195/200-Batch\\h: 543/938--D.loss:0.3574,G.loss:1.8073\n",
            "Epoch: 195/200-Batch\\h: 544/938--D.loss:0.4043,G.loss:1.3444\n",
            "Epoch: 195/200-Batch\\h: 545/938--D.loss:0.3968,G.loss:1.5198\n",
            "Epoch: 195/200-Batch\\h: 546/938--D.loss:0.3150,G.loss:1.8257\n",
            "Epoch: 195/200-Batch\\h: 547/938--D.loss:0.3951,G.loss:1.8025\n",
            "Epoch: 195/200-Batch\\h: 548/938--D.loss:0.3249,G.loss:1.4013\n",
            "Epoch: 195/200-Batch\\h: 549/938--D.loss:0.4323,G.loss:1.6043\n",
            "Epoch: 195/200-Batch\\h: 550/938--D.loss:0.3473,G.loss:1.5085\n",
            "Epoch: 195/200-Batch\\h: 551/938--D.loss:0.3504,G.loss:1.7415\n",
            "Epoch: 195/200-Batch\\h: 552/938--D.loss:0.3068,G.loss:1.6153\n",
            "Epoch: 195/200-Batch\\h: 553/938--D.loss:0.3324,G.loss:1.7903\n",
            "Epoch: 195/200-Batch\\h: 554/938--D.loss:0.4371,G.loss:1.6395\n",
            "Epoch: 195/200-Batch\\h: 555/938--D.loss:0.3683,G.loss:1.5074\n",
            "Epoch: 195/200-Batch\\h: 556/938--D.loss:0.4820,G.loss:1.7379\n",
            "Epoch: 195/200-Batch\\h: 557/938--D.loss:0.4038,G.loss:1.3638\n",
            "Epoch: 195/200-Batch\\h: 558/938--D.loss:0.3359,G.loss:1.4244\n",
            "Epoch: 195/200-Batch\\h: 559/938--D.loss:0.2625,G.loss:1.6058\n",
            "Epoch: 195/200-Batch\\h: 560/938--D.loss:0.3263,G.loss:1.8836\n",
            "Epoch: 195/200-Batch\\h: 561/938--D.loss:0.3032,G.loss:1.6536\n",
            "Epoch: 195/200-Batch\\h: 562/938--D.loss:0.3715,G.loss:1.7574\n",
            "Epoch: 195/200-Batch\\h: 563/938--D.loss:0.3605,G.loss:1.9078\n",
            "Epoch: 195/200-Batch\\h: 564/938--D.loss:0.2979,G.loss:1.8119\n",
            "Epoch: 195/200-Batch\\h: 565/938--D.loss:0.3928,G.loss:2.0478\n",
            "Epoch: 195/200-Batch\\h: 566/938--D.loss:0.3113,G.loss:1.5123\n",
            "Epoch: 195/200-Batch\\h: 567/938--D.loss:0.3369,G.loss:1.7217\n",
            "Epoch: 195/200-Batch\\h: 568/938--D.loss:0.3918,G.loss:1.8232\n",
            "Epoch: 195/200-Batch\\h: 569/938--D.loss:0.3877,G.loss:1.7592\n",
            "Epoch: 195/200-Batch\\h: 570/938--D.loss:0.3425,G.loss:1.8493\n",
            "Epoch: 195/200-Batch\\h: 571/938--D.loss:0.3071,G.loss:1.6520\n",
            "Epoch: 195/200-Batch\\h: 572/938--D.loss:0.3882,G.loss:1.8796\n",
            "Epoch: 195/200-Batch\\h: 573/938--D.loss:0.3312,G.loss:1.6471\n",
            "Epoch: 195/200-Batch\\h: 574/938--D.loss:0.3478,G.loss:1.6208\n",
            "Epoch: 195/200-Batch\\h: 575/938--D.loss:0.3208,G.loss:1.7140\n",
            "Epoch: 195/200-Batch\\h: 576/938--D.loss:0.2977,G.loss:1.5797\n",
            "Epoch: 195/200-Batch\\h: 577/938--D.loss:0.4173,G.loss:1.8266\n",
            "Epoch: 195/200-Batch\\h: 578/938--D.loss:0.3692,G.loss:1.5909\n",
            "Epoch: 195/200-Batch\\h: 579/938--D.loss:0.2696,G.loss:1.7159\n",
            "Epoch: 195/200-Batch\\h: 580/938--D.loss:0.2563,G.loss:1.9546\n",
            "Epoch: 195/200-Batch\\h: 581/938--D.loss:0.3269,G.loss:2.2505\n",
            "Epoch: 195/200-Batch\\h: 582/938--D.loss:0.4279,G.loss:1.7467\n",
            "Epoch: 195/200-Batch\\h: 583/938--D.loss:0.3145,G.loss:1.7127\n",
            "Epoch: 195/200-Batch\\h: 584/938--D.loss:0.2833,G.loss:1.8645\n",
            "Epoch: 195/200-Batch\\h: 585/938--D.loss:0.3969,G.loss:2.0707\n",
            "Epoch: 195/200-Batch\\h: 586/938--D.loss:0.4614,G.loss:1.4900\n",
            "Epoch: 195/200-Batch\\h: 587/938--D.loss:0.4022,G.loss:1.3131\n",
            "Epoch: 195/200-Batch\\h: 588/938--D.loss:0.3702,G.loss:1.4841\n",
            "Epoch: 195/200-Batch\\h: 589/938--D.loss:0.3264,G.loss:1.6579\n",
            "Epoch: 195/200-Batch\\h: 590/938--D.loss:0.4471,G.loss:1.6035\n",
            "Epoch: 195/200-Batch\\h: 591/938--D.loss:0.3721,G.loss:1.5395\n",
            "Epoch: 195/200-Batch\\h: 592/938--D.loss:0.3357,G.loss:1.4984\n",
            "Epoch: 195/200-Batch\\h: 593/938--D.loss:0.3655,G.loss:1.8474\n",
            "Epoch: 195/200-Batch\\h: 594/938--D.loss:0.3683,G.loss:1.6316\n",
            "Epoch: 195/200-Batch\\h: 595/938--D.loss:0.3046,G.loss:1.6584\n",
            "Epoch: 195/200-Batch\\h: 596/938--D.loss:0.3852,G.loss:2.0164\n",
            "Epoch: 195/200-Batch\\h: 597/938--D.loss:0.3702,G.loss:1.9126\n",
            "Epoch: 195/200-Batch\\h: 598/938--D.loss:0.4021,G.loss:1.2484\n",
            "Epoch: 195/200-Batch\\h: 599/938--D.loss:0.4118,G.loss:1.5515\n",
            "Epoch: 195/200-Batch\\h: 600/938--D.loss:0.3271,G.loss:1.9332\n",
            "Epoch: 195/200-Batch\\h: 601/938--D.loss:0.3713,G.loss:1.5312\n",
            "Epoch: 195/200-Batch\\h: 602/938--D.loss:0.3856,G.loss:1.5426\n",
            "Epoch: 195/200-Batch\\h: 603/938--D.loss:0.3501,G.loss:1.5448\n",
            "Epoch: 195/200-Batch\\h: 604/938--D.loss:0.2820,G.loss:1.7642\n",
            "Epoch: 195/200-Batch\\h: 605/938--D.loss:0.4190,G.loss:1.9403\n",
            "Epoch: 195/200-Batch\\h: 606/938--D.loss:0.5272,G.loss:1.4164\n",
            "Epoch: 195/200-Batch\\h: 607/938--D.loss:0.3622,G.loss:1.3409\n",
            "Epoch: 195/200-Batch\\h: 608/938--D.loss:0.2961,G.loss:2.0137\n",
            "Epoch: 195/200-Batch\\h: 609/938--D.loss:0.4981,G.loss:1.7604\n",
            "Epoch: 195/200-Batch\\h: 610/938--D.loss:0.4187,G.loss:1.0946\n",
            "Epoch: 195/200-Batch\\h: 611/938--D.loss:0.3459,G.loss:1.6255\n",
            "Epoch: 195/200-Batch\\h: 612/938--D.loss:0.3745,G.loss:1.8598\n",
            "Epoch: 195/200-Batch\\h: 613/938--D.loss:0.3503,G.loss:1.7906\n",
            "Epoch: 195/200-Batch\\h: 614/938--D.loss:0.3646,G.loss:1.6715\n",
            "Epoch: 195/200-Batch\\h: 615/938--D.loss:0.3922,G.loss:1.8644\n",
            "Epoch: 195/200-Batch\\h: 616/938--D.loss:0.3168,G.loss:1.5900\n",
            "Epoch: 195/200-Batch\\h: 617/938--D.loss:0.2773,G.loss:1.9058\n",
            "Epoch: 195/200-Batch\\h: 618/938--D.loss:0.3529,G.loss:1.8952\n",
            "Epoch: 195/200-Batch\\h: 619/938--D.loss:0.3578,G.loss:1.5639\n",
            "Epoch: 195/200-Batch\\h: 620/938--D.loss:0.2886,G.loss:1.6480\n",
            "Epoch: 195/200-Batch\\h: 621/938--D.loss:0.3426,G.loss:1.8083\n",
            "Epoch: 195/200-Batch\\h: 622/938--D.loss:0.3821,G.loss:1.8640\n",
            "Epoch: 195/200-Batch\\h: 623/938--D.loss:0.3464,G.loss:1.9262\n",
            "Epoch: 195/200-Batch\\h: 624/938--D.loss:0.3599,G.loss:1.8937\n",
            "Epoch: 195/200-Batch\\h: 625/938--D.loss:0.3929,G.loss:1.8803\n",
            "Epoch: 195/200-Batch\\h: 626/938--D.loss:0.3071,G.loss:1.6277\n",
            "Epoch: 195/200-Batch\\h: 627/938--D.loss:0.3342,G.loss:1.6571\n",
            "Epoch: 195/200-Batch\\h: 628/938--D.loss:0.4133,G.loss:1.8442\n",
            "Epoch: 195/200-Batch\\h: 629/938--D.loss:0.4212,G.loss:1.7767\n",
            "Epoch: 195/200-Batch\\h: 630/938--D.loss:0.3747,G.loss:1.1078\n",
            "Epoch: 195/200-Batch\\h: 631/938--D.loss:0.3273,G.loss:1.5897\n",
            "Epoch: 195/200-Batch\\h: 632/938--D.loss:0.3048,G.loss:1.9448\n",
            "Epoch: 195/200-Batch\\h: 633/938--D.loss:0.3923,G.loss:1.7261\n",
            "Epoch: 195/200-Batch\\h: 634/938--D.loss:0.3317,G.loss:1.6437\n",
            "Epoch: 195/200-Batch\\h: 635/938--D.loss:0.4248,G.loss:1.7593\n",
            "Epoch: 195/200-Batch\\h: 636/938--D.loss:0.4508,G.loss:1.8826\n",
            "Epoch: 195/200-Batch\\h: 637/938--D.loss:0.3346,G.loss:1.7044\n",
            "Epoch: 195/200-Batch\\h: 638/938--D.loss:0.3446,G.loss:1.5078\n",
            "Epoch: 195/200-Batch\\h: 639/938--D.loss:0.3443,G.loss:1.5431\n",
            "Epoch: 195/200-Batch\\h: 640/938--D.loss:0.3278,G.loss:1.8925\n",
            "Epoch: 195/200-Batch\\h: 641/938--D.loss:0.3805,G.loss:1.6015\n",
            "Epoch: 195/200-Batch\\h: 642/938--D.loss:0.3334,G.loss:1.5197\n",
            "Epoch: 195/200-Batch\\h: 643/938--D.loss:0.3673,G.loss:1.6077\n",
            "Epoch: 195/200-Batch\\h: 644/938--D.loss:0.4256,G.loss:1.9317\n",
            "Epoch: 195/200-Batch\\h: 645/938--D.loss:0.3307,G.loss:1.7643\n",
            "Epoch: 195/200-Batch\\h: 646/938--D.loss:0.3090,G.loss:1.7603\n",
            "Epoch: 195/200-Batch\\h: 647/938--D.loss:0.3467,G.loss:1.6492\n",
            "Epoch: 195/200-Batch\\h: 648/938--D.loss:0.2769,G.loss:1.8868\n",
            "Epoch: 195/200-Batch\\h: 649/938--D.loss:0.2811,G.loss:2.0319\n",
            "Epoch: 195/200-Batch\\h: 650/938--D.loss:0.3970,G.loss:2.1275\n",
            "Epoch: 195/200-Batch\\h: 651/938--D.loss:0.4319,G.loss:1.4522\n",
            "Epoch: 195/200-Batch\\h: 652/938--D.loss:0.3107,G.loss:1.5344\n",
            "Epoch: 195/200-Batch\\h: 653/938--D.loss:0.3463,G.loss:2.0017\n",
            "Epoch: 195/200-Batch\\h: 654/938--D.loss:0.4280,G.loss:1.6662\n",
            "Epoch: 195/200-Batch\\h: 655/938--D.loss:0.3238,G.loss:1.5685\n",
            "Epoch: 195/200-Batch\\h: 656/938--D.loss:0.3637,G.loss:1.9030\n",
            "Epoch: 195/200-Batch\\h: 657/938--D.loss:0.4587,G.loss:1.1415\n",
            "Epoch: 195/200-Batch\\h: 658/938--D.loss:0.3088,G.loss:1.8319\n",
            "Epoch: 195/200-Batch\\h: 659/938--D.loss:0.2922,G.loss:1.9332\n",
            "Epoch: 195/200-Batch\\h: 660/938--D.loss:0.4215,G.loss:1.7778\n",
            "Epoch: 195/200-Batch\\h: 661/938--D.loss:0.3402,G.loss:1.3778\n",
            "Epoch: 195/200-Batch\\h: 662/938--D.loss:0.3535,G.loss:1.6713\n",
            "Epoch: 195/200-Batch\\h: 663/938--D.loss:0.4631,G.loss:1.6726\n",
            "Epoch: 195/200-Batch\\h: 664/938--D.loss:0.3815,G.loss:1.3074\n",
            "Epoch: 195/200-Batch\\h: 665/938--D.loss:0.3446,G.loss:1.6375\n",
            "Epoch: 195/200-Batch\\h: 666/938--D.loss:0.3214,G.loss:1.9411\n",
            "Epoch: 195/200-Batch\\h: 667/938--D.loss:0.3356,G.loss:1.5742\n",
            "Epoch: 195/200-Batch\\h: 668/938--D.loss:0.3690,G.loss:1.5314\n",
            "Epoch: 195/200-Batch\\h: 669/938--D.loss:0.3865,G.loss:1.7760\n",
            "Epoch: 195/200-Batch\\h: 670/938--D.loss:0.2925,G.loss:1.6053\n",
            "Epoch: 195/200-Batch\\h: 671/938--D.loss:0.4062,G.loss:2.1229\n",
            "Epoch: 195/200-Batch\\h: 672/938--D.loss:0.4259,G.loss:1.5607\n",
            "Epoch: 195/200-Batch\\h: 673/938--D.loss:0.3397,G.loss:1.5124\n",
            "Epoch: 195/200-Batch\\h: 674/938--D.loss:0.4358,G.loss:1.8067\n",
            "Epoch: 195/200-Batch\\h: 675/938--D.loss:0.3558,G.loss:1.2756\n",
            "Epoch: 195/200-Batch\\h: 676/938--D.loss:0.3325,G.loss:1.5320\n",
            "Epoch: 195/200-Batch\\h: 677/938--D.loss:0.3247,G.loss:2.0302\n",
            "Epoch: 195/200-Batch\\h: 678/938--D.loss:0.3983,G.loss:2.1366\n",
            "Epoch: 195/200-Batch\\h: 679/938--D.loss:0.3653,G.loss:1.8303\n",
            "Epoch: 195/200-Batch\\h: 680/938--D.loss:0.2910,G.loss:1.5056\n",
            "Epoch: 195/200-Batch\\h: 681/938--D.loss:0.3757,G.loss:1.8273\n",
            "Epoch: 195/200-Batch\\h: 682/938--D.loss:0.4623,G.loss:1.6664\n",
            "Epoch: 195/200-Batch\\h: 683/938--D.loss:0.3938,G.loss:1.0863\n",
            "Epoch: 195/200-Batch\\h: 684/938--D.loss:0.3286,G.loss:1.5319\n",
            "Epoch: 195/200-Batch\\h: 685/938--D.loss:0.4177,G.loss:1.9635\n",
            "Epoch: 195/200-Batch\\h: 686/938--D.loss:0.3761,G.loss:1.6105\n",
            "Epoch: 195/200-Batch\\h: 687/938--D.loss:0.3036,G.loss:1.5943\n",
            "Epoch: 195/200-Batch\\h: 688/938--D.loss:0.2822,G.loss:1.7422\n",
            "Epoch: 195/200-Batch\\h: 689/938--D.loss:0.2962,G.loss:1.8045\n",
            "Epoch: 195/200-Batch\\h: 690/938--D.loss:0.3863,G.loss:1.7898\n",
            "Epoch: 195/200-Batch\\h: 691/938--D.loss:0.3368,G.loss:1.7420\n",
            "Epoch: 195/200-Batch\\h: 692/938--D.loss:0.2809,G.loss:1.6558\n",
            "Epoch: 195/200-Batch\\h: 693/938--D.loss:0.3661,G.loss:2.0319\n",
            "Epoch: 195/200-Batch\\h: 694/938--D.loss:0.4076,G.loss:1.6923\n",
            "Epoch: 195/200-Batch\\h: 695/938--D.loss:0.2907,G.loss:1.5645\n",
            "Epoch: 195/200-Batch\\h: 696/938--D.loss:0.3500,G.loss:1.6722\n",
            "Epoch: 195/200-Batch\\h: 697/938--D.loss:0.3428,G.loss:1.7802\n",
            "Epoch: 195/200-Batch\\h: 698/938--D.loss:0.3415,G.loss:1.7983\n",
            "Epoch: 195/200-Batch\\h: 699/938--D.loss:0.2930,G.loss:1.7665\n",
            "Epoch: 195/200-Batch\\h: 700/938--D.loss:0.2800,G.loss:1.6600\n",
            "Epoch: 195/200-Batch\\h: 701/938--D.loss:0.4344,G.loss:1.8196\n",
            "Epoch: 195/200-Batch\\h: 702/938--D.loss:0.2695,G.loss:1.8991\n",
            "Epoch: 195/200-Batch\\h: 703/938--D.loss:0.3363,G.loss:1.4756\n",
            "Epoch: 195/200-Batch\\h: 704/938--D.loss:0.3277,G.loss:1.8016\n",
            "Epoch: 195/200-Batch\\h: 705/938--D.loss:0.3112,G.loss:1.8227\n",
            "Epoch: 195/200-Batch\\h: 706/938--D.loss:0.3778,G.loss:1.3179\n",
            "Epoch: 195/200-Batch\\h: 707/938--D.loss:0.3707,G.loss:2.0052\n",
            "Epoch: 195/200-Batch\\h: 708/938--D.loss:0.3665,G.loss:1.7581\n",
            "Epoch: 195/200-Batch\\h: 709/938--D.loss:0.3410,G.loss:1.4190\n",
            "Epoch: 195/200-Batch\\h: 710/938--D.loss:0.3448,G.loss:2.0613\n",
            "Epoch: 195/200-Batch\\h: 711/938--D.loss:0.4203,G.loss:1.9479\n",
            "Epoch: 195/200-Batch\\h: 712/938--D.loss:0.4089,G.loss:1.0935\n",
            "Epoch: 195/200-Batch\\h: 713/938--D.loss:0.3977,G.loss:1.8601\n",
            "Epoch: 195/200-Batch\\h: 714/938--D.loss:0.3254,G.loss:1.7312\n",
            "Epoch: 195/200-Batch\\h: 715/938--D.loss:0.3741,G.loss:1.6585\n",
            "Epoch: 195/200-Batch\\h: 716/938--D.loss:0.4365,G.loss:1.5040\n",
            "Epoch: 195/200-Batch\\h: 717/938--D.loss:0.3970,G.loss:1.5090\n",
            "Epoch: 195/200-Batch\\h: 718/938--D.loss:0.4281,G.loss:1.6860\n",
            "Epoch: 195/200-Batch\\h: 719/938--D.loss:0.3431,G.loss:1.5600\n",
            "Epoch: 195/200-Batch\\h: 720/938--D.loss:0.3317,G.loss:1.4514\n",
            "Epoch: 195/200-Batch\\h: 721/938--D.loss:0.3639,G.loss:2.0603\n",
            "Epoch: 195/200-Batch\\h: 722/938--D.loss:0.3756,G.loss:2.0607\n",
            "Epoch: 195/200-Batch\\h: 723/938--D.loss:0.4316,G.loss:1.3444\n",
            "Epoch: 195/200-Batch\\h: 724/938--D.loss:0.3959,G.loss:1.5695\n",
            "Epoch: 195/200-Batch\\h: 725/938--D.loss:0.4221,G.loss:1.3295\n",
            "Epoch: 195/200-Batch\\h: 726/938--D.loss:0.3299,G.loss:1.5246\n",
            "Epoch: 195/200-Batch\\h: 727/938--D.loss:0.2973,G.loss:1.7959\n",
            "Epoch: 195/200-Batch\\h: 728/938--D.loss:0.3259,G.loss:1.8741\n",
            "Epoch: 195/200-Batch\\h: 729/938--D.loss:0.3727,G.loss:1.7728\n",
            "Epoch: 195/200-Batch\\h: 730/938--D.loss:0.3289,G.loss:1.6911\n",
            "Epoch: 195/200-Batch\\h: 731/938--D.loss:0.4195,G.loss:1.4661\n",
            "Epoch: 195/200-Batch\\h: 732/938--D.loss:0.4303,G.loss:1.7204\n",
            "Epoch: 195/200-Batch\\h: 733/938--D.loss:0.3811,G.loss:1.4981\n",
            "Epoch: 195/200-Batch\\h: 734/938--D.loss:0.3423,G.loss:1.4553\n",
            "Epoch: 195/200-Batch\\h: 735/938--D.loss:0.3806,G.loss:1.6400\n",
            "Epoch: 195/200-Batch\\h: 736/938--D.loss:0.3616,G.loss:1.7352\n",
            "Epoch: 195/200-Batch\\h: 737/938--D.loss:0.3650,G.loss:1.3458\n",
            "Epoch: 195/200-Batch\\h: 738/938--D.loss:0.2919,G.loss:1.9026\n",
            "Epoch: 195/200-Batch\\h: 739/938--D.loss:0.4029,G.loss:1.7488\n",
            "Epoch: 195/200-Batch\\h: 740/938--D.loss:0.3764,G.loss:1.3671\n",
            "Epoch: 195/200-Batch\\h: 741/938--D.loss:0.3014,G.loss:1.5852\n",
            "Epoch: 195/200-Batch\\h: 742/938--D.loss:0.3733,G.loss:2.1114\n",
            "Epoch: 195/200-Batch\\h: 743/938--D.loss:0.3544,G.loss:1.5832\n",
            "Epoch: 195/200-Batch\\h: 744/938--D.loss:0.2973,G.loss:1.7440\n",
            "Epoch: 195/200-Batch\\h: 745/938--D.loss:0.3462,G.loss:1.8530\n",
            "Epoch: 195/200-Batch\\h: 746/938--D.loss:0.3559,G.loss:1.9030\n",
            "Epoch: 195/200-Batch\\h: 747/938--D.loss:0.3557,G.loss:1.5882\n",
            "Epoch: 195/200-Batch\\h: 748/938--D.loss:0.3047,G.loss:1.8352\n",
            "Epoch: 195/200-Batch\\h: 749/938--D.loss:0.4203,G.loss:1.8157\n",
            "Epoch: 195/200-Batch\\h: 750/938--D.loss:0.3848,G.loss:1.7240\n",
            "Epoch: 195/200-Batch\\h: 751/938--D.loss:0.3362,G.loss:1.3788\n",
            "Epoch: 195/200-Batch\\h: 752/938--D.loss:0.3082,G.loss:2.0514\n",
            "Epoch: 195/200-Batch\\h: 753/938--D.loss:0.3265,G.loss:2.2875\n",
            "Epoch: 195/200-Batch\\h: 754/938--D.loss:0.4072,G.loss:1.6637\n",
            "Epoch: 195/200-Batch\\h: 755/938--D.loss:0.3235,G.loss:1.7117\n",
            "Epoch: 195/200-Batch\\h: 756/938--D.loss:0.3374,G.loss:1.4318\n",
            "Epoch: 195/200-Batch\\h: 757/938--D.loss:0.3407,G.loss:1.7284\n",
            "Epoch: 195/200-Batch\\h: 758/938--D.loss:0.3638,G.loss:1.8122\n",
            "Epoch: 195/200-Batch\\h: 759/938--D.loss:0.3810,G.loss:1.4911\n",
            "Epoch: 195/200-Batch\\h: 760/938--D.loss:0.3676,G.loss:1.6995\n",
            "Epoch: 195/200-Batch\\h: 761/938--D.loss:0.3533,G.loss:1.6201\n",
            "Epoch: 195/200-Batch\\h: 762/938--D.loss:0.3470,G.loss:1.8619\n",
            "Epoch: 195/200-Batch\\h: 763/938--D.loss:0.3438,G.loss:1.4902\n",
            "Epoch: 195/200-Batch\\h: 764/938--D.loss:0.4117,G.loss:2.0133\n",
            "Epoch: 195/200-Batch\\h: 765/938--D.loss:0.3823,G.loss:1.4298\n",
            "Epoch: 195/200-Batch\\h: 766/938--D.loss:0.3660,G.loss:1.4457\n",
            "Epoch: 195/200-Batch\\h: 767/938--D.loss:0.4433,G.loss:1.7497\n",
            "Epoch: 195/200-Batch\\h: 768/938--D.loss:0.4143,G.loss:1.5721\n",
            "Epoch: 195/200-Batch\\h: 769/938--D.loss:0.3587,G.loss:1.5268\n",
            "Epoch: 195/200-Batch\\h: 770/938--D.loss:0.4430,G.loss:1.5833\n",
            "Epoch: 195/200-Batch\\h: 771/938--D.loss:0.3931,G.loss:1.5086\n",
            "Epoch: 195/200-Batch\\h: 772/938--D.loss:0.4082,G.loss:1.4971\n",
            "Epoch: 195/200-Batch\\h: 773/938--D.loss:0.3533,G.loss:1.5744\n",
            "Epoch: 195/200-Batch\\h: 774/938--D.loss:0.3528,G.loss:1.7547\n",
            "Epoch: 195/200-Batch\\h: 775/938--D.loss:0.3709,G.loss:1.9472\n",
            "Epoch: 195/200-Batch\\h: 776/938--D.loss:0.3483,G.loss:1.6098\n",
            "Epoch: 195/200-Batch\\h: 777/938--D.loss:0.4103,G.loss:1.4886\n",
            "Epoch: 195/200-Batch\\h: 778/938--D.loss:0.3449,G.loss:1.3829\n",
            "Epoch: 195/200-Batch\\h: 779/938--D.loss:0.3989,G.loss:1.5670\n",
            "Epoch: 195/200-Batch\\h: 780/938--D.loss:0.3251,G.loss:1.9007\n",
            "Epoch: 195/200-Batch\\h: 781/938--D.loss:0.4840,G.loss:1.3163\n",
            "Epoch: 195/200-Batch\\h: 782/938--D.loss:0.3251,G.loss:1.8267\n",
            "Epoch: 195/200-Batch\\h: 783/938--D.loss:0.2429,G.loss:1.7984\n",
            "Epoch: 195/200-Batch\\h: 784/938--D.loss:0.4259,G.loss:1.7710\n",
            "Epoch: 195/200-Batch\\h: 785/938--D.loss:0.4045,G.loss:1.8530\n",
            "Epoch: 195/200-Batch\\h: 786/938--D.loss:0.3554,G.loss:1.7615\n",
            "Epoch: 195/200-Batch\\h: 787/938--D.loss:0.3475,G.loss:1.3488\n",
            "Epoch: 195/200-Batch\\h: 788/938--D.loss:0.3297,G.loss:1.7465\n",
            "Epoch: 195/200-Batch\\h: 789/938--D.loss:0.3112,G.loss:1.7906\n",
            "Epoch: 195/200-Batch\\h: 790/938--D.loss:0.3787,G.loss:1.8602\n",
            "Epoch: 195/200-Batch\\h: 791/938--D.loss:0.3455,G.loss:1.6365\n",
            "Epoch: 195/200-Batch\\h: 792/938--D.loss:0.4118,G.loss:1.3360\n",
            "Epoch: 195/200-Batch\\h: 793/938--D.loss:0.3354,G.loss:1.5634\n",
            "Epoch: 195/200-Batch\\h: 794/938--D.loss:0.3907,G.loss:1.6505\n",
            "Epoch: 195/200-Batch\\h: 795/938--D.loss:0.2593,G.loss:1.6313\n",
            "Epoch: 195/200-Batch\\h: 796/938--D.loss:0.3772,G.loss:1.8464\n",
            "Epoch: 195/200-Batch\\h: 797/938--D.loss:0.4714,G.loss:1.7284\n",
            "Epoch: 195/200-Batch\\h: 798/938--D.loss:0.3433,G.loss:1.3184\n",
            "Epoch: 195/200-Batch\\h: 799/938--D.loss:0.3295,G.loss:1.9788\n",
            "Epoch: 195/200-Batch\\h: 800/938--D.loss:0.3906,G.loss:1.6417\n",
            "Epoch: 195/200-Batch\\h: 801/938--D.loss:0.3696,G.loss:1.3719\n",
            "Epoch: 195/200-Batch\\h: 802/938--D.loss:0.3577,G.loss:1.5453\n",
            "Epoch: 195/200-Batch\\h: 803/938--D.loss:0.2761,G.loss:1.8296\n",
            "Epoch: 195/200-Batch\\h: 804/938--D.loss:0.3792,G.loss:2.4221\n",
            "Epoch: 195/200-Batch\\h: 805/938--D.loss:0.3392,G.loss:2.1206\n",
            "Epoch: 195/200-Batch\\h: 806/938--D.loss:0.4060,G.loss:1.4840\n",
            "Epoch: 195/200-Batch\\h: 807/938--D.loss:0.3071,G.loss:1.4754\n",
            "Epoch: 195/200-Batch\\h: 808/938--D.loss:0.3503,G.loss:1.9541\n",
            "Epoch: 195/200-Batch\\h: 809/938--D.loss:0.3211,G.loss:1.3833\n",
            "Epoch: 195/200-Batch\\h: 810/938--D.loss:0.3049,G.loss:1.8285\n",
            "Epoch: 195/200-Batch\\h: 811/938--D.loss:0.2887,G.loss:1.9287\n",
            "Epoch: 195/200-Batch\\h: 812/938--D.loss:0.3547,G.loss:2.0189\n",
            "Epoch: 195/200-Batch\\h: 813/938--D.loss:0.3546,G.loss:1.7998\n",
            "Epoch: 195/200-Batch\\h: 814/938--D.loss:0.3679,G.loss:1.5276\n",
            "Epoch: 195/200-Batch\\h: 815/938--D.loss:0.4147,G.loss:2.1725\n",
            "Epoch: 195/200-Batch\\h: 816/938--D.loss:0.3919,G.loss:1.5060\n",
            "Epoch: 195/200-Batch\\h: 817/938--D.loss:0.3567,G.loss:1.4409\n",
            "Epoch: 195/200-Batch\\h: 818/938--D.loss:0.4151,G.loss:1.3035\n",
            "Epoch: 195/200-Batch\\h: 819/938--D.loss:0.3348,G.loss:1.7383\n",
            "Epoch: 195/200-Batch\\h: 820/938--D.loss:0.3657,G.loss:1.8726\n",
            "Epoch: 195/200-Batch\\h: 821/938--D.loss:0.3708,G.loss:1.4999\n",
            "Epoch: 195/200-Batch\\h: 822/938--D.loss:0.4030,G.loss:1.3951\n",
            "Epoch: 195/200-Batch\\h: 823/938--D.loss:0.3887,G.loss:1.9502\n",
            "Epoch: 195/200-Batch\\h: 824/938--D.loss:0.2827,G.loss:1.8871\n",
            "Epoch: 195/200-Batch\\h: 825/938--D.loss:0.3695,G.loss:1.8022\n",
            "Epoch: 195/200-Batch\\h: 826/938--D.loss:0.3350,G.loss:1.6938\n",
            "Epoch: 195/200-Batch\\h: 827/938--D.loss:0.2963,G.loss:2.0866\n",
            "Epoch: 195/200-Batch\\h: 828/938--D.loss:0.3041,G.loss:1.5303\n",
            "Epoch: 195/200-Batch\\h: 829/938--D.loss:0.3769,G.loss:1.7393\n",
            "Epoch: 195/200-Batch\\h: 830/938--D.loss:0.4087,G.loss:1.7497\n",
            "Epoch: 195/200-Batch\\h: 831/938--D.loss:0.3789,G.loss:1.4523\n",
            "Epoch: 195/200-Batch\\h: 832/938--D.loss:0.3221,G.loss:1.8438\n",
            "Epoch: 195/200-Batch\\h: 833/938--D.loss:0.3665,G.loss:1.7342\n",
            "Epoch: 195/200-Batch\\h: 834/938--D.loss:0.3835,G.loss:1.6252\n",
            "Epoch: 195/200-Batch\\h: 835/938--D.loss:0.3070,G.loss:1.7652\n",
            "Epoch: 195/200-Batch\\h: 836/938--D.loss:0.4057,G.loss:1.3984\n",
            "Epoch: 195/200-Batch\\h: 837/938--D.loss:0.3783,G.loss:1.5462\n",
            "Epoch: 195/200-Batch\\h: 838/938--D.loss:0.3062,G.loss:1.8441\n",
            "Epoch: 195/200-Batch\\h: 839/938--D.loss:0.3534,G.loss:2.0098\n",
            "Epoch: 195/200-Batch\\h: 840/938--D.loss:0.4493,G.loss:1.6026\n",
            "Epoch: 195/200-Batch\\h: 841/938--D.loss:0.3323,G.loss:1.4513\n",
            "Epoch: 195/200-Batch\\h: 842/938--D.loss:0.4379,G.loss:2.0072\n",
            "Epoch: 195/200-Batch\\h: 843/938--D.loss:0.3947,G.loss:1.3080\n",
            "Epoch: 195/200-Batch\\h: 844/938--D.loss:0.4188,G.loss:1.2619\n",
            "Epoch: 195/200-Batch\\h: 845/938--D.loss:0.4236,G.loss:1.8278\n",
            "Epoch: 195/200-Batch\\h: 846/938--D.loss:0.2883,G.loss:1.6928\n",
            "Epoch: 195/200-Batch\\h: 847/938--D.loss:0.3799,G.loss:1.6092\n",
            "Epoch: 195/200-Batch\\h: 848/938--D.loss:0.2768,G.loss:1.6251\n",
            "Epoch: 195/200-Batch\\h: 849/938--D.loss:0.4163,G.loss:1.8629\n",
            "Epoch: 195/200-Batch\\h: 850/938--D.loss:0.3315,G.loss:1.7490\n",
            "Epoch: 195/200-Batch\\h: 851/938--D.loss:0.3451,G.loss:1.7432\n",
            "Epoch: 195/200-Batch\\h: 852/938--D.loss:0.3372,G.loss:1.6962\n",
            "Epoch: 195/200-Batch\\h: 853/938--D.loss:0.2867,G.loss:1.5223\n",
            "Epoch: 195/200-Batch\\h: 854/938--D.loss:0.4007,G.loss:1.5830\n",
            "Epoch: 195/200-Batch\\h: 855/938--D.loss:0.3648,G.loss:1.6434\n",
            "Epoch: 195/200-Batch\\h: 856/938--D.loss:0.3602,G.loss:1.5694\n",
            "Epoch: 195/200-Batch\\h: 857/938--D.loss:0.3334,G.loss:1.6392\n",
            "Epoch: 195/200-Batch\\h: 858/938--D.loss:0.3196,G.loss:1.9526\n",
            "Epoch: 195/200-Batch\\h: 859/938--D.loss:0.4002,G.loss:1.5600\n",
            "Epoch: 195/200-Batch\\h: 860/938--D.loss:0.3414,G.loss:1.8890\n",
            "Epoch: 195/200-Batch\\h: 861/938--D.loss:0.3577,G.loss:1.8782\n",
            "Epoch: 195/200-Batch\\h: 862/938--D.loss:0.4502,G.loss:1.4955\n",
            "Epoch: 195/200-Batch\\h: 863/938--D.loss:0.4254,G.loss:1.3304\n",
            "Epoch: 195/200-Batch\\h: 864/938--D.loss:0.3796,G.loss:1.5206\n",
            "Epoch: 195/200-Batch\\h: 865/938--D.loss:0.2942,G.loss:1.8645\n",
            "Epoch: 195/200-Batch\\h: 866/938--D.loss:0.2590,G.loss:1.7763\n",
            "Epoch: 195/200-Batch\\h: 867/938--D.loss:0.3583,G.loss:2.0038\n",
            "Epoch: 195/200-Batch\\h: 868/938--D.loss:0.3636,G.loss:1.4637\n",
            "Epoch: 195/200-Batch\\h: 869/938--D.loss:0.4670,G.loss:1.4987\n",
            "Epoch: 195/200-Batch\\h: 870/938--D.loss:0.3502,G.loss:1.9212\n",
            "Epoch: 195/200-Batch\\h: 871/938--D.loss:0.5000,G.loss:1.7216\n",
            "Epoch: 195/200-Batch\\h: 872/938--D.loss:0.3912,G.loss:1.1964\n",
            "Epoch: 195/200-Batch\\h: 873/938--D.loss:0.3321,G.loss:1.3952\n",
            "Epoch: 195/200-Batch\\h: 874/938--D.loss:0.3715,G.loss:2.0551\n",
            "Epoch: 195/200-Batch\\h: 875/938--D.loss:0.3147,G.loss:2.2599\n",
            "Epoch: 195/200-Batch\\h: 876/938--D.loss:0.3057,G.loss:1.4475\n",
            "Epoch: 195/200-Batch\\h: 877/938--D.loss:0.3589,G.loss:1.7410\n",
            "Epoch: 195/200-Batch\\h: 878/938--D.loss:0.3506,G.loss:1.8179\n",
            "Epoch: 195/200-Batch\\h: 879/938--D.loss:0.2807,G.loss:1.4811\n",
            "Epoch: 195/200-Batch\\h: 880/938--D.loss:0.4293,G.loss:2.0746\n",
            "Epoch: 195/200-Batch\\h: 881/938--D.loss:0.3945,G.loss:1.4478\n",
            "Epoch: 195/200-Batch\\h: 882/938--D.loss:0.3732,G.loss:1.6494\n",
            "Epoch: 195/200-Batch\\h: 883/938--D.loss:0.3937,G.loss:1.8070\n",
            "Epoch: 195/200-Batch\\h: 884/938--D.loss:0.3820,G.loss:1.3891\n",
            "Epoch: 195/200-Batch\\h: 885/938--D.loss:0.3308,G.loss:1.2500\n",
            "Epoch: 195/200-Batch\\h: 886/938--D.loss:0.3206,G.loss:2.1083\n",
            "Epoch: 195/200-Batch\\h: 887/938--D.loss:0.3438,G.loss:2.0343\n",
            "Epoch: 195/200-Batch\\h: 888/938--D.loss:0.3462,G.loss:1.7292\n",
            "Epoch: 195/200-Batch\\h: 889/938--D.loss:0.3936,G.loss:1.3684\n",
            "Epoch: 195/200-Batch\\h: 890/938--D.loss:0.3901,G.loss:1.5678\n",
            "Epoch: 195/200-Batch\\h: 891/938--D.loss:0.3390,G.loss:1.8990\n",
            "Epoch: 195/200-Batch\\h: 892/938--D.loss:0.3204,G.loss:1.8337\n",
            "Epoch: 195/200-Batch\\h: 893/938--D.loss:0.3739,G.loss:1.3993\n",
            "Epoch: 195/200-Batch\\h: 894/938--D.loss:0.3189,G.loss:1.6490\n",
            "Epoch: 195/200-Batch\\h: 895/938--D.loss:0.3508,G.loss:1.8774\n",
            "Epoch: 195/200-Batch\\h: 896/938--D.loss:0.3873,G.loss:1.5368\n",
            "Epoch: 195/200-Batch\\h: 897/938--D.loss:0.3410,G.loss:1.5844\n",
            "Epoch: 195/200-Batch\\h: 898/938--D.loss:0.3657,G.loss:1.7375\n",
            "Epoch: 195/200-Batch\\h: 899/938--D.loss:0.3706,G.loss:1.9607\n",
            "Epoch: 195/200-Batch\\h: 900/938--D.loss:0.3501,G.loss:1.3452\n",
            "Epoch: 195/200-Batch\\h: 901/938--D.loss:0.3552,G.loss:1.7055\n",
            "Epoch: 195/200-Batch\\h: 902/938--D.loss:0.3356,G.loss:1.7414\n",
            "Epoch: 195/200-Batch\\h: 903/938--D.loss:0.3637,G.loss:1.4372\n",
            "Epoch: 195/200-Batch\\h: 904/938--D.loss:0.3650,G.loss:1.6977\n",
            "Epoch: 195/200-Batch\\h: 905/938--D.loss:0.4035,G.loss:2.0339\n",
            "Epoch: 195/200-Batch\\h: 906/938--D.loss:0.4225,G.loss:1.1969\n",
            "Epoch: 195/200-Batch\\h: 907/938--D.loss:0.3853,G.loss:1.3363\n",
            "Epoch: 195/200-Batch\\h: 908/938--D.loss:0.3863,G.loss:2.1125\n",
            "Epoch: 195/200-Batch\\h: 909/938--D.loss:0.3672,G.loss:1.8230\n",
            "Epoch: 195/200-Batch\\h: 910/938--D.loss:0.2997,G.loss:1.4976\n",
            "Epoch: 195/200-Batch\\h: 911/938--D.loss:0.3802,G.loss:1.4124\n",
            "Epoch: 195/200-Batch\\h: 912/938--D.loss:0.4376,G.loss:1.9441\n",
            "Epoch: 195/200-Batch\\h: 913/938--D.loss:0.4050,G.loss:2.0703\n",
            "Epoch: 195/200-Batch\\h: 914/938--D.loss:0.3406,G.loss:1.5849\n",
            "Epoch: 195/200-Batch\\h: 915/938--D.loss:0.3398,G.loss:1.5159\n",
            "Epoch: 195/200-Batch\\h: 916/938--D.loss:0.4074,G.loss:1.9191\n",
            "Epoch: 195/200-Batch\\h: 917/938--D.loss:0.3062,G.loss:1.4506\n",
            "Epoch: 195/200-Batch\\h: 918/938--D.loss:0.4504,G.loss:1.4440\n",
            "Epoch: 195/200-Batch\\h: 919/938--D.loss:0.3407,G.loss:1.5998\n",
            "Epoch: 195/200-Batch\\h: 920/938--D.loss:0.3866,G.loss:1.8396\n",
            "Epoch: 195/200-Batch\\h: 921/938--D.loss:0.3275,G.loss:1.6781\n",
            "Epoch: 195/200-Batch\\h: 922/938--D.loss:0.3781,G.loss:1.7543\n",
            "Epoch: 195/200-Batch\\h: 923/938--D.loss:0.4045,G.loss:1.4616\n",
            "Epoch: 195/200-Batch\\h: 924/938--D.loss:0.2689,G.loss:1.5155\n",
            "Epoch: 195/200-Batch\\h: 925/938--D.loss:0.3940,G.loss:1.8910\n",
            "Epoch: 195/200-Batch\\h: 926/938--D.loss:0.3154,G.loss:1.7045\n",
            "Epoch: 195/200-Batch\\h: 927/938--D.loss:0.4227,G.loss:1.6170\n",
            "Epoch: 195/200-Batch\\h: 928/938--D.loss:0.4159,G.loss:1.5709\n",
            "Epoch: 195/200-Batch\\h: 929/938--D.loss:0.3688,G.loss:1.6428\n",
            "Epoch: 195/200-Batch\\h: 930/938--D.loss:0.4452,G.loss:1.5994\n",
            "Epoch: 195/200-Batch\\h: 931/938--D.loss:0.3479,G.loss:1.4950\n",
            "Epoch: 195/200-Batch\\h: 932/938--D.loss:0.3785,G.loss:2.0962\n",
            "Epoch: 195/200-Batch\\h: 933/938--D.loss:0.3707,G.loss:1.4619\n",
            "Epoch: 195/200-Batch\\h: 934/938--D.loss:0.3025,G.loss:1.6670\n",
            "Epoch: 195/200-Batch\\h: 935/938--D.loss:0.3872,G.loss:1.8500\n",
            "Epoch: 195/200-Batch\\h: 936/938--D.loss:0.3054,G.loss:2.0496\n",
            "Epoch: 195/200-Batch\\h: 937/938--D.loss:0.3010,G.loss:1.7418\n",
            "Epoch: 196/200-Batch\\h: 0/938--D.loss:0.3628,G.loss:1.6916\n",
            "Epoch: 196/200-Batch\\h: 1/938--D.loss:0.3832,G.loss:1.4240\n",
            "Epoch: 196/200-Batch\\h: 2/938--D.loss:0.4010,G.loss:1.4919\n",
            "Epoch: 196/200-Batch\\h: 3/938--D.loss:0.4041,G.loss:1.7951\n",
            "Epoch: 196/200-Batch\\h: 4/938--D.loss:0.3428,G.loss:1.5093\n",
            "Epoch: 196/200-Batch\\h: 5/938--D.loss:0.3672,G.loss:1.7075\n",
            "Epoch: 196/200-Batch\\h: 6/938--D.loss:0.3893,G.loss:1.3407\n",
            "Epoch: 196/200-Batch\\h: 7/938--D.loss:0.3237,G.loss:1.6481\n",
            "Epoch: 196/200-Batch\\h: 8/938--D.loss:0.3448,G.loss:1.7900\n",
            "Epoch: 196/200-Batch\\h: 9/938--D.loss:0.3342,G.loss:1.5145\n",
            "Epoch: 196/200-Batch\\h: 10/938--D.loss:0.3135,G.loss:1.8367\n",
            "Epoch: 196/200-Batch\\h: 11/938--D.loss:0.3250,G.loss:1.7046\n",
            "Epoch: 196/200-Batch\\h: 12/938--D.loss:0.3069,G.loss:1.8438\n",
            "Epoch: 196/200-Batch\\h: 13/938--D.loss:0.3322,G.loss:1.8987\n",
            "Epoch: 196/200-Batch\\h: 14/938--D.loss:0.3808,G.loss:1.7588\n",
            "Epoch: 196/200-Batch\\h: 15/938--D.loss:0.3601,G.loss:1.6153\n",
            "Epoch: 196/200-Batch\\h: 16/938--D.loss:0.3403,G.loss:1.5495\n",
            "Epoch: 196/200-Batch\\h: 17/938--D.loss:0.4216,G.loss:1.9037\n",
            "Epoch: 196/200-Batch\\h: 18/938--D.loss:0.2985,G.loss:1.6149\n",
            "Epoch: 196/200-Batch\\h: 19/938--D.loss:0.3565,G.loss:1.5664\n",
            "Epoch: 196/200-Batch\\h: 20/938--D.loss:0.3074,G.loss:1.7897\n",
            "Epoch: 196/200-Batch\\h: 21/938--D.loss:0.3009,G.loss:1.7902\n",
            "Epoch: 196/200-Batch\\h: 22/938--D.loss:0.3025,G.loss:1.6838\n",
            "Epoch: 196/200-Batch\\h: 23/938--D.loss:0.3728,G.loss:1.6341\n",
            "Epoch: 196/200-Batch\\h: 24/938--D.loss:0.3583,G.loss:1.6826\n",
            "Epoch: 196/200-Batch\\h: 25/938--D.loss:0.4200,G.loss:1.8168\n",
            "Epoch: 196/200-Batch\\h: 26/938--D.loss:0.3813,G.loss:1.4680\n",
            "Epoch: 196/200-Batch\\h: 27/938--D.loss:0.3383,G.loss:1.4250\n",
            "Epoch: 196/200-Batch\\h: 28/938--D.loss:0.3505,G.loss:1.8957\n",
            "Epoch: 196/200-Batch\\h: 29/938--D.loss:0.3277,G.loss:1.7474\n",
            "Epoch: 196/200-Batch\\h: 30/938--D.loss:0.3532,G.loss:1.6946\n",
            "Epoch: 196/200-Batch\\h: 31/938--D.loss:0.3716,G.loss:1.8553\n",
            "Epoch: 196/200-Batch\\h: 32/938--D.loss:0.2928,G.loss:1.3274\n",
            "Epoch: 196/200-Batch\\h: 33/938--D.loss:0.3830,G.loss:1.9964\n",
            "Epoch: 196/200-Batch\\h: 34/938--D.loss:0.3403,G.loss:2.0471\n",
            "Epoch: 196/200-Batch\\h: 35/938--D.loss:0.3268,G.loss:1.4627\n",
            "Epoch: 196/200-Batch\\h: 36/938--D.loss:0.3848,G.loss:1.3637\n",
            "Epoch: 196/200-Batch\\h: 37/938--D.loss:0.4061,G.loss:2.1266\n",
            "Epoch: 196/200-Batch\\h: 38/938--D.loss:0.2979,G.loss:1.9960\n",
            "Epoch: 196/200-Batch\\h: 39/938--D.loss:0.3923,G.loss:1.6872\n",
            "Epoch: 196/200-Batch\\h: 40/938--D.loss:0.3024,G.loss:1.4659\n",
            "Epoch: 196/200-Batch\\h: 41/938--D.loss:0.3922,G.loss:1.6311\n",
            "Epoch: 196/200-Batch\\h: 42/938--D.loss:0.3589,G.loss:1.7439\n",
            "Epoch: 196/200-Batch\\h: 43/938--D.loss:0.3238,G.loss:1.4101\n",
            "Epoch: 196/200-Batch\\h: 44/938--D.loss:0.3236,G.loss:1.7205\n",
            "Epoch: 196/200-Batch\\h: 45/938--D.loss:0.3071,G.loss:2.1425\n",
            "Epoch: 196/200-Batch\\h: 46/938--D.loss:0.2540,G.loss:2.0057\n",
            "Epoch: 196/200-Batch\\h: 47/938--D.loss:0.3206,G.loss:1.9889\n",
            "Epoch: 196/200-Batch\\h: 48/938--D.loss:0.3253,G.loss:1.8603\n",
            "Epoch: 196/200-Batch\\h: 49/938--D.loss:0.3746,G.loss:1.8422\n",
            "Epoch: 196/200-Batch\\h: 50/938--D.loss:0.3567,G.loss:1.4391\n",
            "Epoch: 196/200-Batch\\h: 51/938--D.loss:0.3083,G.loss:1.6707\n",
            "Epoch: 196/200-Batch\\h: 52/938--D.loss:0.4022,G.loss:1.9918\n",
            "Epoch: 196/200-Batch\\h: 53/938--D.loss:0.3171,G.loss:1.3263\n",
            "Epoch: 196/200-Batch\\h: 54/938--D.loss:0.3500,G.loss:1.5331\n",
            "Epoch: 196/200-Batch\\h: 55/938--D.loss:0.3756,G.loss:1.6065\n",
            "Epoch: 196/200-Batch\\h: 56/938--D.loss:0.3041,G.loss:1.6534\n",
            "Epoch: 196/200-Batch\\h: 57/938--D.loss:0.3258,G.loss:1.7577\n",
            "Epoch: 196/200-Batch\\h: 58/938--D.loss:0.3167,G.loss:1.7250\n",
            "Epoch: 196/200-Batch\\h: 59/938--D.loss:0.3678,G.loss:2.0348\n",
            "Epoch: 196/200-Batch\\h: 60/938--D.loss:0.3909,G.loss:2.0824\n",
            "Epoch: 196/200-Batch\\h: 61/938--D.loss:0.3327,G.loss:1.3895\n",
            "Epoch: 196/200-Batch\\h: 62/938--D.loss:0.3911,G.loss:1.5793\n",
            "Epoch: 196/200-Batch\\h: 63/938--D.loss:0.4185,G.loss:1.6600\n",
            "Epoch: 196/200-Batch\\h: 64/938--D.loss:0.3482,G.loss:1.8298\n",
            "Epoch: 196/200-Batch\\h: 65/938--D.loss:0.3479,G.loss:1.6465\n",
            "Epoch: 196/200-Batch\\h: 66/938--D.loss:0.3966,G.loss:1.4691\n",
            "Epoch: 196/200-Batch\\h: 67/938--D.loss:0.3746,G.loss:1.6674\n",
            "Epoch: 196/200-Batch\\h: 68/938--D.loss:0.2649,G.loss:1.9533\n",
            "Epoch: 196/200-Batch\\h: 69/938--D.loss:0.4100,G.loss:1.9187\n",
            "Epoch: 196/200-Batch\\h: 70/938--D.loss:0.3979,G.loss:1.2717\n",
            "Epoch: 196/200-Batch\\h: 71/938--D.loss:0.4123,G.loss:1.3730\n",
            "Epoch: 196/200-Batch\\h: 72/938--D.loss:0.3931,G.loss:1.7212\n",
            "Epoch: 196/200-Batch\\h: 73/938--D.loss:0.2976,G.loss:1.6642\n",
            "Epoch: 196/200-Batch\\h: 74/938--D.loss:0.3699,G.loss:1.6686\n",
            "Epoch: 196/200-Batch\\h: 75/938--D.loss:0.4254,G.loss:1.6117\n",
            "Epoch: 196/200-Batch\\h: 76/938--D.loss:0.3564,G.loss:1.2230\n",
            "Epoch: 196/200-Batch\\h: 77/938--D.loss:0.3846,G.loss:1.5811\n",
            "Epoch: 196/200-Batch\\h: 78/938--D.loss:0.3596,G.loss:2.0382\n",
            "Epoch: 196/200-Batch\\h: 79/938--D.loss:0.3255,G.loss:1.6946\n",
            "Epoch: 196/200-Batch\\h: 80/938--D.loss:0.2554,G.loss:1.6086\n",
            "Epoch: 196/200-Batch\\h: 81/938--D.loss:0.3893,G.loss:1.7648\n",
            "Epoch: 196/200-Batch\\h: 82/938--D.loss:0.3318,G.loss:1.7250\n",
            "Epoch: 196/200-Batch\\h: 83/938--D.loss:0.3967,G.loss:1.4654\n",
            "Epoch: 196/200-Batch\\h: 84/938--D.loss:0.3726,G.loss:1.7660\n",
            "Epoch: 196/200-Batch\\h: 85/938--D.loss:0.4222,G.loss:1.5888\n",
            "Epoch: 196/200-Batch\\h: 86/938--D.loss:0.4270,G.loss:1.5980\n",
            "Epoch: 196/200-Batch\\h: 87/938--D.loss:0.4074,G.loss:1.4689\n",
            "Epoch: 196/200-Batch\\h: 88/938--D.loss:0.4184,G.loss:1.1796\n",
            "Epoch: 196/200-Batch\\h: 89/938--D.loss:0.3750,G.loss:1.6296\n",
            "Epoch: 196/200-Batch\\h: 90/938--D.loss:0.3615,G.loss:1.6702\n",
            "Epoch: 196/200-Batch\\h: 91/938--D.loss:0.3286,G.loss:1.5512\n",
            "Epoch: 196/200-Batch\\h: 92/938--D.loss:0.3505,G.loss:1.7585\n",
            "Epoch: 196/200-Batch\\h: 93/938--D.loss:0.3708,G.loss:1.5129\n",
            "Epoch: 196/200-Batch\\h: 94/938--D.loss:0.3231,G.loss:1.7398\n",
            "Epoch: 196/200-Batch\\h: 95/938--D.loss:0.3927,G.loss:1.7650\n",
            "Epoch: 196/200-Batch\\h: 96/938--D.loss:0.2850,G.loss:1.5686\n",
            "Epoch: 196/200-Batch\\h: 97/938--D.loss:0.3495,G.loss:1.6389\n",
            "Epoch: 196/200-Batch\\h: 98/938--D.loss:0.3793,G.loss:2.1317\n",
            "Epoch: 196/200-Batch\\h: 99/938--D.loss:0.3338,G.loss:1.7108\n",
            "Epoch: 196/200-Batch\\h: 100/938--D.loss:0.3812,G.loss:1.4636\n",
            "Epoch: 196/200-Batch\\h: 101/938--D.loss:0.3637,G.loss:1.6186\n",
            "Epoch: 196/200-Batch\\h: 102/938--D.loss:0.3825,G.loss:2.1595\n",
            "Epoch: 196/200-Batch\\h: 103/938--D.loss:0.3102,G.loss:1.7479\n",
            "Epoch: 196/200-Batch\\h: 104/938--D.loss:0.4031,G.loss:1.5480\n",
            "Epoch: 196/200-Batch\\h: 105/938--D.loss:0.3964,G.loss:1.3523\n",
            "Epoch: 196/200-Batch\\h: 106/938--D.loss:0.3719,G.loss:1.5477\n",
            "Epoch: 196/200-Batch\\h: 107/938--D.loss:0.3784,G.loss:1.9791\n",
            "Epoch: 196/200-Batch\\h: 108/938--D.loss:0.3530,G.loss:1.7319\n",
            "Epoch: 196/200-Batch\\h: 109/938--D.loss:0.3611,G.loss:1.4729\n",
            "Epoch: 196/200-Batch\\h: 110/938--D.loss:0.3194,G.loss:1.5587\n",
            "Epoch: 196/200-Batch\\h: 111/938--D.loss:0.2745,G.loss:1.7961\n",
            "Epoch: 196/200-Batch\\h: 112/938--D.loss:0.3693,G.loss:1.9390\n",
            "Epoch: 196/200-Batch\\h: 113/938--D.loss:0.3525,G.loss:1.5994\n",
            "Epoch: 196/200-Batch\\h: 114/938--D.loss:0.3625,G.loss:1.5883\n",
            "Epoch: 196/200-Batch\\h: 115/938--D.loss:0.3619,G.loss:1.6188\n",
            "Epoch: 196/200-Batch\\h: 116/938--D.loss:0.3261,G.loss:1.6564\n",
            "Epoch: 196/200-Batch\\h: 117/938--D.loss:0.3859,G.loss:1.4828\n",
            "Epoch: 196/200-Batch\\h: 118/938--D.loss:0.4049,G.loss:1.4936\n",
            "Epoch: 196/200-Batch\\h: 119/938--D.loss:0.3303,G.loss:1.7054\n",
            "Epoch: 196/200-Batch\\h: 120/938--D.loss:0.4065,G.loss:1.8870\n",
            "Epoch: 196/200-Batch\\h: 121/938--D.loss:0.3113,G.loss:1.7774\n",
            "Epoch: 196/200-Batch\\h: 122/938--D.loss:0.3118,G.loss:1.7761\n",
            "Epoch: 196/200-Batch\\h: 123/938--D.loss:0.3943,G.loss:1.3604\n",
            "Epoch: 196/200-Batch\\h: 124/938--D.loss:0.3013,G.loss:1.6843\n",
            "Epoch: 196/200-Batch\\h: 125/938--D.loss:0.3847,G.loss:1.9351\n",
            "Epoch: 196/200-Batch\\h: 126/938--D.loss:0.3052,G.loss:1.9561\n",
            "Epoch: 196/200-Batch\\h: 127/938--D.loss:0.3944,G.loss:1.5742\n",
            "Epoch: 196/200-Batch\\h: 128/938--D.loss:0.3486,G.loss:1.6098\n",
            "Epoch: 196/200-Batch\\h: 129/938--D.loss:0.3318,G.loss:1.8278\n",
            "Epoch: 196/200-Batch\\h: 130/938--D.loss:0.3524,G.loss:1.5972\n",
            "Epoch: 196/200-Batch\\h: 131/938--D.loss:0.3421,G.loss:1.6094\n",
            "Epoch: 196/200-Batch\\h: 132/938--D.loss:0.3319,G.loss:1.7187\n",
            "Epoch: 196/200-Batch\\h: 133/938--D.loss:0.3607,G.loss:1.6942\n",
            "Epoch: 196/200-Batch\\h: 134/938--D.loss:0.4228,G.loss:1.5499\n",
            "Epoch: 196/200-Batch\\h: 135/938--D.loss:0.3220,G.loss:1.7992\n",
            "Epoch: 196/200-Batch\\h: 136/938--D.loss:0.4087,G.loss:1.6239\n",
            "Epoch: 196/200-Batch\\h: 137/938--D.loss:0.4045,G.loss:1.3522\n",
            "Epoch: 196/200-Batch\\h: 138/938--D.loss:0.3078,G.loss:1.5768\n",
            "Epoch: 196/200-Batch\\h: 139/938--D.loss:0.3710,G.loss:2.0245\n",
            "Epoch: 196/200-Batch\\h: 140/938--D.loss:0.3236,G.loss:1.5607\n",
            "Epoch: 196/200-Batch\\h: 141/938--D.loss:0.3775,G.loss:1.4597\n",
            "Epoch: 196/200-Batch\\h: 142/938--D.loss:0.3785,G.loss:1.9648\n",
            "Epoch: 196/200-Batch\\h: 143/938--D.loss:0.3296,G.loss:1.6739\n",
            "Epoch: 196/200-Batch\\h: 144/938--D.loss:0.3931,G.loss:1.4996\n",
            "Epoch: 196/200-Batch\\h: 145/938--D.loss:0.3402,G.loss:1.4815\n",
            "Epoch: 196/200-Batch\\h: 146/938--D.loss:0.3393,G.loss:1.6869\n",
            "Epoch: 196/200-Batch\\h: 147/938--D.loss:0.3974,G.loss:1.7116\n",
            "Epoch: 196/200-Batch\\h: 148/938--D.loss:0.3790,G.loss:1.6768\n",
            "Epoch: 196/200-Batch\\h: 149/938--D.loss:0.4004,G.loss:1.6790\n",
            "Epoch: 196/200-Batch\\h: 150/938--D.loss:0.3765,G.loss:1.4456\n",
            "Epoch: 196/200-Batch\\h: 151/938--D.loss:0.2967,G.loss:1.7192\n",
            "Epoch: 196/200-Batch\\h: 152/938--D.loss:0.3020,G.loss:1.7039\n",
            "Epoch: 196/200-Batch\\h: 153/938--D.loss:0.3810,G.loss:2.0890\n",
            "Epoch: 196/200-Batch\\h: 154/938--D.loss:0.3524,G.loss:1.6711\n",
            "Epoch: 196/200-Batch\\h: 155/938--D.loss:0.3467,G.loss:1.6218\n",
            "Epoch: 196/200-Batch\\h: 156/938--D.loss:0.3220,G.loss:1.8642\n",
            "Epoch: 196/200-Batch\\h: 157/938--D.loss:0.3853,G.loss:1.7511\n",
            "Epoch: 196/200-Batch\\h: 158/938--D.loss:0.3783,G.loss:1.5251\n",
            "Epoch: 196/200-Batch\\h: 159/938--D.loss:0.3562,G.loss:1.4255\n",
            "Epoch: 196/200-Batch\\h: 160/938--D.loss:0.3499,G.loss:1.8635\n",
            "Epoch: 196/200-Batch\\h: 161/938--D.loss:0.2503,G.loss:1.6473\n",
            "Epoch: 196/200-Batch\\h: 162/938--D.loss:0.2957,G.loss:1.8716\n",
            "Epoch: 196/200-Batch\\h: 163/938--D.loss:0.2827,G.loss:1.9601\n",
            "Epoch: 196/200-Batch\\h: 164/938--D.loss:0.3635,G.loss:1.8561\n",
            "Epoch: 196/200-Batch\\h: 165/938--D.loss:0.3872,G.loss:1.5602\n",
            "Epoch: 196/200-Batch\\h: 166/938--D.loss:0.3668,G.loss:1.8906\n",
            "Epoch: 196/200-Batch\\h: 167/938--D.loss:0.2994,G.loss:1.8874\n",
            "Epoch: 196/200-Batch\\h: 168/938--D.loss:0.4472,G.loss:1.7334\n",
            "Epoch: 196/200-Batch\\h: 169/938--D.loss:0.3316,G.loss:1.5908\n",
            "Epoch: 196/200-Batch\\h: 170/938--D.loss:0.3112,G.loss:1.6137\n",
            "Epoch: 196/200-Batch\\h: 171/938--D.loss:0.2726,G.loss:1.7835\n",
            "Epoch: 196/200-Batch\\h: 172/938--D.loss:0.4345,G.loss:2.1389\n",
            "Epoch: 196/200-Batch\\h: 173/938--D.loss:0.3468,G.loss:1.6153\n",
            "Epoch: 196/200-Batch\\h: 174/938--D.loss:0.4275,G.loss:1.0509\n",
            "Epoch: 196/200-Batch\\h: 175/938--D.loss:0.3548,G.loss:1.6364\n",
            "Epoch: 196/200-Batch\\h: 176/938--D.loss:0.4216,G.loss:2.1418\n",
            "Epoch: 196/200-Batch\\h: 177/938--D.loss:0.3796,G.loss:1.4294\n",
            "Epoch: 196/200-Batch\\h: 178/938--D.loss:0.3879,G.loss:1.5315\n",
            "Epoch: 196/200-Batch\\h: 179/938--D.loss:0.3616,G.loss:1.5007\n",
            "Epoch: 196/200-Batch\\h: 180/938--D.loss:0.3773,G.loss:2.0320\n",
            "Epoch: 196/200-Batch\\h: 181/938--D.loss:0.3189,G.loss:1.9824\n",
            "Epoch: 196/200-Batch\\h: 182/938--D.loss:0.4401,G.loss:1.3084\n",
            "Epoch: 196/200-Batch\\h: 183/938--D.loss:0.3353,G.loss:1.5744\n",
            "Epoch: 196/200-Batch\\h: 184/938--D.loss:0.3241,G.loss:1.7678\n",
            "Epoch: 196/200-Batch\\h: 185/938--D.loss:0.3679,G.loss:2.0561\n",
            "Epoch: 196/200-Batch\\h: 186/938--D.loss:0.4218,G.loss:1.4154\n",
            "Epoch: 196/200-Batch\\h: 187/938--D.loss:0.3227,G.loss:1.6665\n",
            "Epoch: 196/200-Batch\\h: 188/938--D.loss:0.3361,G.loss:1.9130\n",
            "Epoch: 196/200-Batch\\h: 189/938--D.loss:0.3325,G.loss:1.5528\n",
            "Epoch: 196/200-Batch\\h: 190/938--D.loss:0.3676,G.loss:1.6500\n",
            "Epoch: 196/200-Batch\\h: 191/938--D.loss:0.2924,G.loss:1.8771\n",
            "Epoch: 196/200-Batch\\h: 192/938--D.loss:0.3738,G.loss:1.8228\n",
            "Epoch: 196/200-Batch\\h: 193/938--D.loss:0.3599,G.loss:1.6360\n",
            "Epoch: 196/200-Batch\\h: 194/938--D.loss:0.3797,G.loss:1.6243\n",
            "Epoch: 196/200-Batch\\h: 195/938--D.loss:0.3649,G.loss:1.7026\n",
            "Epoch: 196/200-Batch\\h: 196/938--D.loss:0.2757,G.loss:2.0282\n",
            "Epoch: 196/200-Batch\\h: 197/938--D.loss:0.4813,G.loss:1.7005\n",
            "Epoch: 196/200-Batch\\h: 198/938--D.loss:0.2944,G.loss:1.7887\n",
            "Epoch: 196/200-Batch\\h: 199/938--D.loss:0.3537,G.loss:1.7721\n",
            "Epoch: 196/200-Batch\\h: 200/938--D.loss:0.4123,G.loss:1.6814\n",
            "Epoch: 196/200-Batch\\h: 201/938--D.loss:0.4344,G.loss:1.4508\n",
            "Epoch: 196/200-Batch\\h: 202/938--D.loss:0.4113,G.loss:1.3671\n",
            "Epoch: 196/200-Batch\\h: 203/938--D.loss:0.3316,G.loss:1.6028\n",
            "Epoch: 196/200-Batch\\h: 204/938--D.loss:0.4940,G.loss:1.6151\n",
            "Epoch: 196/200-Batch\\h: 205/938--D.loss:0.3714,G.loss:1.4337\n",
            "Epoch: 196/200-Batch\\h: 206/938--D.loss:0.2834,G.loss:1.6544\n",
            "Epoch: 196/200-Batch\\h: 207/938--D.loss:0.3118,G.loss:2.0718\n",
            "Epoch: 196/200-Batch\\h: 208/938--D.loss:0.4517,G.loss:1.8694\n",
            "Epoch: 196/200-Batch\\h: 209/938--D.loss:0.3794,G.loss:1.4402\n",
            "Epoch: 196/200-Batch\\h: 210/938--D.loss:0.3385,G.loss:1.9011\n",
            "Epoch: 196/200-Batch\\h: 211/938--D.loss:0.3466,G.loss:2.1051\n",
            "Epoch: 196/200-Batch\\h: 212/938--D.loss:0.3358,G.loss:1.9427\n",
            "Epoch: 196/200-Batch\\h: 213/938--D.loss:0.3502,G.loss:1.3062\n",
            "Epoch: 196/200-Batch\\h: 214/938--D.loss:0.4719,G.loss:1.5839\n",
            "Epoch: 196/200-Batch\\h: 215/938--D.loss:0.3590,G.loss:1.7781\n",
            "Epoch: 196/200-Batch\\h: 216/938--D.loss:0.3063,G.loss:1.8196\n",
            "Epoch: 196/200-Batch\\h: 217/938--D.loss:0.3942,G.loss:1.8745\n",
            "Epoch: 196/200-Batch\\h: 218/938--D.loss:0.3721,G.loss:1.6469\n",
            "Epoch: 196/200-Batch\\h: 219/938--D.loss:0.4022,G.loss:1.3040\n",
            "Epoch: 196/200-Batch\\h: 220/938--D.loss:0.2666,G.loss:1.7048\n",
            "Epoch: 196/200-Batch\\h: 221/938--D.loss:0.4317,G.loss:1.9384\n",
            "Epoch: 196/200-Batch\\h: 222/938--D.loss:0.4133,G.loss:1.4638\n",
            "Epoch: 196/200-Batch\\h: 223/938--D.loss:0.3011,G.loss:1.4452\n",
            "Epoch: 196/200-Batch\\h: 224/938--D.loss:0.3584,G.loss:1.9371\n",
            "Epoch: 196/200-Batch\\h: 225/938--D.loss:0.2848,G.loss:1.9378\n",
            "Epoch: 196/200-Batch\\h: 226/938--D.loss:0.3038,G.loss:1.6313\n",
            "Epoch: 196/200-Batch\\h: 227/938--D.loss:0.3244,G.loss:1.5531\n",
            "Epoch: 196/200-Batch\\h: 228/938--D.loss:0.2904,G.loss:1.8708\n",
            "Epoch: 196/200-Batch\\h: 229/938--D.loss:0.3638,G.loss:1.9256\n",
            "Epoch: 196/200-Batch\\h: 230/938--D.loss:0.3438,G.loss:2.0782\n",
            "Epoch: 196/200-Batch\\h: 231/938--D.loss:0.3209,G.loss:1.8154\n",
            "Epoch: 196/200-Batch\\h: 232/938--D.loss:0.3373,G.loss:1.5539\n",
            "Epoch: 196/200-Batch\\h: 233/938--D.loss:0.2781,G.loss:1.5087\n",
            "Epoch: 196/200-Batch\\h: 234/938--D.loss:0.3528,G.loss:2.0581\n",
            "Epoch: 196/200-Batch\\h: 235/938--D.loss:0.3196,G.loss:1.7090\n",
            "Epoch: 196/200-Batch\\h: 236/938--D.loss:0.3619,G.loss:1.5505\n",
            "Epoch: 196/200-Batch\\h: 237/938--D.loss:0.3288,G.loss:1.6739\n",
            "Epoch: 196/200-Batch\\h: 238/938--D.loss:0.3133,G.loss:1.9890\n",
            "Epoch: 196/200-Batch\\h: 239/938--D.loss:0.3611,G.loss:2.0360\n",
            "Epoch: 196/200-Batch\\h: 240/938--D.loss:0.3537,G.loss:1.5318\n",
            "Epoch: 196/200-Batch\\h: 241/938--D.loss:0.2939,G.loss:1.6397\n",
            "Epoch: 196/200-Batch\\h: 242/938--D.loss:0.3750,G.loss:1.5565\n",
            "Epoch: 196/200-Batch\\h: 243/938--D.loss:0.3631,G.loss:1.5147\n",
            "Epoch: 196/200-Batch\\h: 244/938--D.loss:0.4309,G.loss:1.9276\n",
            "Epoch: 196/200-Batch\\h: 245/938--D.loss:0.3858,G.loss:1.2779\n",
            "Epoch: 196/200-Batch\\h: 246/938--D.loss:0.2284,G.loss:1.7085\n",
            "Epoch: 196/200-Batch\\h: 247/938--D.loss:0.4097,G.loss:2.1712\n",
            "Epoch: 196/200-Batch\\h: 248/938--D.loss:0.3811,G.loss:1.6258\n",
            "Epoch: 196/200-Batch\\h: 249/938--D.loss:0.3532,G.loss:1.5925\n",
            "Epoch: 196/200-Batch\\h: 250/938--D.loss:0.3606,G.loss:1.5943\n",
            "Epoch: 196/200-Batch\\h: 251/938--D.loss:0.4168,G.loss:1.8805\n",
            "Epoch: 196/200-Batch\\h: 252/938--D.loss:0.3083,G.loss:1.6758\n",
            "Epoch: 196/200-Batch\\h: 253/938--D.loss:0.4417,G.loss:1.5295\n",
            "Epoch: 196/200-Batch\\h: 254/938--D.loss:0.3496,G.loss:1.5743\n",
            "Epoch: 196/200-Batch\\h: 255/938--D.loss:0.4399,G.loss:1.6767\n",
            "Epoch: 196/200-Batch\\h: 256/938--D.loss:0.3926,G.loss:1.6940\n",
            "Epoch: 196/200-Batch\\h: 257/938--D.loss:0.3761,G.loss:1.6034\n",
            "Epoch: 196/200-Batch\\h: 258/938--D.loss:0.3766,G.loss:1.3214\n",
            "Epoch: 196/200-Batch\\h: 259/938--D.loss:0.2889,G.loss:1.8250\n",
            "Epoch: 196/200-Batch\\h: 260/938--D.loss:0.3547,G.loss:1.8174\n",
            "Epoch: 196/200-Batch\\h: 261/938--D.loss:0.3448,G.loss:1.9373\n",
            "Epoch: 196/200-Batch\\h: 262/938--D.loss:0.3590,G.loss:1.4550\n",
            "Epoch: 196/200-Batch\\h: 263/938--D.loss:0.3045,G.loss:1.7535\n",
            "Epoch: 196/200-Batch\\h: 264/938--D.loss:0.3578,G.loss:1.8770\n",
            "Epoch: 196/200-Batch\\h: 265/938--D.loss:0.2918,G.loss:1.8369\n",
            "Epoch: 196/200-Batch\\h: 266/938--D.loss:0.3852,G.loss:1.7016\n",
            "Epoch: 196/200-Batch\\h: 267/938--D.loss:0.3633,G.loss:1.5157\n",
            "Epoch: 196/200-Batch\\h: 268/938--D.loss:0.2041,G.loss:1.9945\n",
            "Epoch: 196/200-Batch\\h: 269/938--D.loss:0.3370,G.loss:1.8830\n",
            "Epoch: 196/200-Batch\\h: 270/938--D.loss:0.2539,G.loss:1.9277\n",
            "Epoch: 196/200-Batch\\h: 271/938--D.loss:0.4129,G.loss:2.0393\n",
            "Epoch: 196/200-Batch\\h: 272/938--D.loss:0.4328,G.loss:1.6402\n",
            "Epoch: 196/200-Batch\\h: 273/938--D.loss:0.3486,G.loss:1.6034\n",
            "Epoch: 196/200-Batch\\h: 274/938--D.loss:0.2921,G.loss:1.6513\n",
            "Epoch: 196/200-Batch\\h: 275/938--D.loss:0.3255,G.loss:1.6014\n",
            "Epoch: 196/200-Batch\\h: 276/938--D.loss:0.3402,G.loss:1.9522\n",
            "Epoch: 196/200-Batch\\h: 277/938--D.loss:0.3127,G.loss:1.6674\n",
            "Epoch: 196/200-Batch\\h: 278/938--D.loss:0.4770,G.loss:1.8383\n",
            "Epoch: 196/200-Batch\\h: 279/938--D.loss:0.3772,G.loss:1.5982\n",
            "Epoch: 196/200-Batch\\h: 280/938--D.loss:0.3026,G.loss:1.8368\n",
            "Epoch: 196/200-Batch\\h: 281/938--D.loss:0.4558,G.loss:1.6562\n",
            "Epoch: 196/200-Batch\\h: 282/938--D.loss:0.3423,G.loss:1.5801\n",
            "Epoch: 196/200-Batch\\h: 283/938--D.loss:0.3537,G.loss:1.5065\n",
            "Epoch: 196/200-Batch\\h: 284/938--D.loss:0.3677,G.loss:1.7803\n",
            "Epoch: 196/200-Batch\\h: 285/938--D.loss:0.3409,G.loss:1.7337\n",
            "Epoch: 196/200-Batch\\h: 286/938--D.loss:0.2816,G.loss:1.8157\n",
            "Epoch: 196/200-Batch\\h: 287/938--D.loss:0.3609,G.loss:1.6656\n",
            "Epoch: 196/200-Batch\\h: 288/938--D.loss:0.3961,G.loss:1.3730\n",
            "Epoch: 196/200-Batch\\h: 289/938--D.loss:0.3177,G.loss:1.8254\n",
            "Epoch: 196/200-Batch\\h: 290/938--D.loss:0.3666,G.loss:2.1472\n",
            "Epoch: 196/200-Batch\\h: 291/938--D.loss:0.3543,G.loss:1.8337\n",
            "Epoch: 196/200-Batch\\h: 292/938--D.loss:0.4392,G.loss:1.4310\n",
            "Epoch: 196/200-Batch\\h: 293/938--D.loss:0.3484,G.loss:1.8375\n",
            "Epoch: 196/200-Batch\\h: 294/938--D.loss:0.3435,G.loss:1.5745\n",
            "Epoch: 196/200-Batch\\h: 295/938--D.loss:0.3352,G.loss:1.4842\n",
            "Epoch: 196/200-Batch\\h: 296/938--D.loss:0.3664,G.loss:1.4971\n",
            "Epoch: 196/200-Batch\\h: 297/938--D.loss:0.3217,G.loss:1.6105\n",
            "Epoch: 196/200-Batch\\h: 298/938--D.loss:0.3511,G.loss:1.9766\n",
            "Epoch: 196/200-Batch\\h: 299/938--D.loss:0.3978,G.loss:1.6709\n",
            "Epoch: 196/200-Batch\\h: 300/938--D.loss:0.3670,G.loss:1.3299\n",
            "Epoch: 196/200-Batch\\h: 301/938--D.loss:0.3975,G.loss:1.4128\n",
            "Epoch: 196/200-Batch\\h: 302/938--D.loss:0.3005,G.loss:1.9684\n",
            "Epoch: 196/200-Batch\\h: 303/938--D.loss:0.3548,G.loss:1.6786\n",
            "Epoch: 196/200-Batch\\h: 304/938--D.loss:0.3452,G.loss:1.6485\n",
            "Epoch: 196/200-Batch\\h: 305/938--D.loss:0.2575,G.loss:1.7474\n",
            "Epoch: 196/200-Batch\\h: 306/938--D.loss:0.3096,G.loss:1.8145\n",
            "Epoch: 196/200-Batch\\h: 307/938--D.loss:0.3664,G.loss:2.0593\n",
            "Epoch: 196/200-Batch\\h: 308/938--D.loss:0.3406,G.loss:1.7443\n",
            "Epoch: 196/200-Batch\\h: 309/938--D.loss:0.2754,G.loss:1.5341\n",
            "Epoch: 196/200-Batch\\h: 310/938--D.loss:0.3752,G.loss:1.6767\n",
            "Epoch: 196/200-Batch\\h: 311/938--D.loss:0.4272,G.loss:1.4818\n",
            "Epoch: 196/200-Batch\\h: 312/938--D.loss:0.3280,G.loss:1.6949\n",
            "Epoch: 196/200-Batch\\h: 313/938--D.loss:0.2898,G.loss:1.6604\n",
            "Epoch: 196/200-Batch\\h: 314/938--D.loss:0.3560,G.loss:1.9483\n",
            "Epoch: 196/200-Batch\\h: 315/938--D.loss:0.3191,G.loss:1.9337\n",
            "Epoch: 196/200-Batch\\h: 316/938--D.loss:0.3985,G.loss:1.5709\n",
            "Epoch: 196/200-Batch\\h: 317/938--D.loss:0.3142,G.loss:1.6114\n",
            "Epoch: 196/200-Batch\\h: 318/938--D.loss:0.3639,G.loss:2.0004\n",
            "Epoch: 196/200-Batch\\h: 319/938--D.loss:0.3841,G.loss:1.6115\n",
            "Epoch: 196/200-Batch\\h: 320/938--D.loss:0.3730,G.loss:1.4425\n",
            "Epoch: 196/200-Batch\\h: 321/938--D.loss:0.3619,G.loss:1.4549\n",
            "Epoch: 196/200-Batch\\h: 322/938--D.loss:0.2728,G.loss:1.9710\n",
            "Epoch: 196/200-Batch\\h: 323/938--D.loss:0.3364,G.loss:1.9703\n",
            "Epoch: 196/200-Batch\\h: 324/938--D.loss:0.3253,G.loss:1.7214\n",
            "Epoch: 196/200-Batch\\h: 325/938--D.loss:0.3751,G.loss:1.8309\n",
            "Epoch: 196/200-Batch\\h: 326/938--D.loss:0.2760,G.loss:1.6745\n",
            "Epoch: 196/200-Batch\\h: 327/938--D.loss:0.4106,G.loss:1.7997\n",
            "Epoch: 196/200-Batch\\h: 328/938--D.loss:0.3088,G.loss:1.7113\n",
            "Epoch: 196/200-Batch\\h: 329/938--D.loss:0.3695,G.loss:1.5620\n",
            "Epoch: 196/200-Batch\\h: 330/938--D.loss:0.3504,G.loss:1.7133\n",
            "Epoch: 196/200-Batch\\h: 331/938--D.loss:0.3374,G.loss:1.6831\n",
            "Epoch: 196/200-Batch\\h: 332/938--D.loss:0.3652,G.loss:1.3873\n",
            "Epoch: 196/200-Batch\\h: 333/938--D.loss:0.3072,G.loss:1.7383\n",
            "Epoch: 196/200-Batch\\h: 334/938--D.loss:0.4045,G.loss:2.1155\n",
            "Epoch: 196/200-Batch\\h: 335/938--D.loss:0.3879,G.loss:1.3645\n",
            "Epoch: 196/200-Batch\\h: 336/938--D.loss:0.3972,G.loss:1.7728\n",
            "Epoch: 196/200-Batch\\h: 337/938--D.loss:0.3893,G.loss:1.7306\n",
            "Epoch: 196/200-Batch\\h: 338/938--D.loss:0.4008,G.loss:1.8511\n",
            "Epoch: 196/200-Batch\\h: 339/938--D.loss:0.4387,G.loss:1.2055\n",
            "Epoch: 196/200-Batch\\h: 340/938--D.loss:0.3255,G.loss:1.7177\n",
            "Epoch: 196/200-Batch\\h: 341/938--D.loss:0.3825,G.loss:1.6427\n",
            "Epoch: 196/200-Batch\\h: 342/938--D.loss:0.3865,G.loss:1.4456\n",
            "Epoch: 196/200-Batch\\h: 343/938--D.loss:0.3540,G.loss:1.6262\n",
            "Epoch: 196/200-Batch\\h: 344/938--D.loss:0.4513,G.loss:2.0289\n",
            "Epoch: 196/200-Batch\\h: 345/938--D.loss:0.3990,G.loss:1.4438\n",
            "Epoch: 196/200-Batch\\h: 346/938--D.loss:0.3655,G.loss:1.4947\n",
            "Epoch: 196/200-Batch\\h: 347/938--D.loss:0.3770,G.loss:1.6426\n",
            "Epoch: 196/200-Batch\\h: 348/938--D.loss:0.2801,G.loss:1.6081\n",
            "Epoch: 196/200-Batch\\h: 349/938--D.loss:0.3377,G.loss:1.7944\n",
            "Epoch: 196/200-Batch\\h: 350/938--D.loss:0.3762,G.loss:1.7589\n",
            "Epoch: 196/200-Batch\\h: 351/938--D.loss:0.3869,G.loss:1.5325\n",
            "Epoch: 196/200-Batch\\h: 352/938--D.loss:0.3226,G.loss:1.7902\n",
            "Epoch: 196/200-Batch\\h: 353/938--D.loss:0.4300,G.loss:1.7516\n",
            "Epoch: 196/200-Batch\\h: 354/938--D.loss:0.4046,G.loss:1.3355\n",
            "Epoch: 196/200-Batch\\h: 355/938--D.loss:0.2844,G.loss:1.6724\n",
            "Epoch: 196/200-Batch\\h: 356/938--D.loss:0.3443,G.loss:1.9932\n",
            "Epoch: 196/200-Batch\\h: 357/938--D.loss:0.3381,G.loss:1.9182\n",
            "Epoch: 196/200-Batch\\h: 358/938--D.loss:0.4162,G.loss:1.6104\n",
            "Epoch: 196/200-Batch\\h: 359/938--D.loss:0.4909,G.loss:1.5130\n",
            "Epoch: 196/200-Batch\\h: 360/938--D.loss:0.3982,G.loss:1.2087\n",
            "Epoch: 196/200-Batch\\h: 361/938--D.loss:0.3167,G.loss:1.6246\n",
            "Epoch: 196/200-Batch\\h: 362/938--D.loss:0.4087,G.loss:2.0131\n",
            "Epoch: 196/200-Batch\\h: 363/938--D.loss:0.4420,G.loss:1.4986\n",
            "Epoch: 196/200-Batch\\h: 364/938--D.loss:0.3823,G.loss:1.4534\n",
            "Epoch: 196/200-Batch\\h: 365/938--D.loss:0.3533,G.loss:1.7464\n",
            "Epoch: 196/200-Batch\\h: 366/938--D.loss:0.3892,G.loss:1.6613\n",
            "Epoch: 196/200-Batch\\h: 367/938--D.loss:0.4166,G.loss:1.4886\n",
            "Epoch: 196/200-Batch\\h: 368/938--D.loss:0.3186,G.loss:1.3051\n",
            "Epoch: 196/200-Batch\\h: 369/938--D.loss:0.3001,G.loss:2.0785\n",
            "Epoch: 196/200-Batch\\h: 370/938--D.loss:0.3817,G.loss:1.7925\n",
            "Epoch: 196/200-Batch\\h: 371/938--D.loss:0.3058,G.loss:1.7285\n",
            "Epoch: 196/200-Batch\\h: 372/938--D.loss:0.3181,G.loss:1.8639\n",
            "Epoch: 196/200-Batch\\h: 373/938--D.loss:0.3513,G.loss:1.5666\n",
            "Epoch: 196/200-Batch\\h: 374/938--D.loss:0.4412,G.loss:1.6612\n",
            "Epoch: 196/200-Batch\\h: 375/938--D.loss:0.3665,G.loss:1.7739\n",
            "Epoch: 196/200-Batch\\h: 376/938--D.loss:0.3595,G.loss:1.4649\n",
            "Epoch: 196/200-Batch\\h: 377/938--D.loss:0.3703,G.loss:1.4641\n",
            "Epoch: 196/200-Batch\\h: 378/938--D.loss:0.2553,G.loss:1.8913\n",
            "Epoch: 196/200-Batch\\h: 379/938--D.loss:0.3057,G.loss:1.8631\n",
            "Epoch: 196/200-Batch\\h: 380/938--D.loss:0.3257,G.loss:2.0911\n",
            "Epoch: 196/200-Batch\\h: 381/938--D.loss:0.3018,G.loss:1.7823\n",
            "Epoch: 196/200-Batch\\h: 382/938--D.loss:0.3238,G.loss:2.0486\n",
            "Epoch: 196/200-Batch\\h: 383/938--D.loss:0.3894,G.loss:1.9039\n",
            "Epoch: 196/200-Batch\\h: 384/938--D.loss:0.3702,G.loss:1.5684\n",
            "Epoch: 196/200-Batch\\h: 385/938--D.loss:0.3619,G.loss:1.4738\n",
            "Epoch: 196/200-Batch\\h: 386/938--D.loss:0.4716,G.loss:1.6204\n",
            "Epoch: 196/200-Batch\\h: 387/938--D.loss:0.3705,G.loss:1.1987\n",
            "Epoch: 196/200-Batch\\h: 388/938--D.loss:0.2910,G.loss:1.9271\n",
            "Epoch: 196/200-Batch\\h: 389/938--D.loss:0.3030,G.loss:1.7350\n",
            "Epoch: 196/200-Batch\\h: 390/938--D.loss:0.4074,G.loss:1.6918\n",
            "Epoch: 196/200-Batch\\h: 391/938--D.loss:0.3516,G.loss:1.4499\n",
            "Epoch: 196/200-Batch\\h: 392/938--D.loss:0.2937,G.loss:1.9576\n",
            "Epoch: 196/200-Batch\\h: 393/938--D.loss:0.3550,G.loss:1.6625\n",
            "Epoch: 196/200-Batch\\h: 394/938--D.loss:0.3338,G.loss:1.8742\n",
            "Epoch: 196/200-Batch\\h: 395/938--D.loss:0.4332,G.loss:2.1733\n",
            "Epoch: 196/200-Batch\\h: 396/938--D.loss:0.3580,G.loss:1.4459\n",
            "Epoch: 196/200-Batch\\h: 397/938--D.loss:0.3905,G.loss:1.5953\n",
            "Epoch: 196/200-Batch\\h: 398/938--D.loss:0.3206,G.loss:1.6165\n",
            "Epoch: 196/200-Batch\\h: 399/938--D.loss:0.3974,G.loss:1.5799\n",
            "Epoch: 196/200-Batch\\h: 400/938--D.loss:0.3356,G.loss:1.7073\n",
            "Epoch: 196/200-Batch\\h: 401/938--D.loss:0.3782,G.loss:1.8081\n",
            "Epoch: 196/200-Batch\\h: 402/938--D.loss:0.4116,G.loss:1.9133\n",
            "Epoch: 196/200-Batch\\h: 403/938--D.loss:0.3714,G.loss:1.3115\n",
            "Epoch: 196/200-Batch\\h: 404/938--D.loss:0.4193,G.loss:1.3289\n",
            "Epoch: 196/200-Batch\\h: 405/938--D.loss:0.3220,G.loss:1.7958\n",
            "Epoch: 196/200-Batch\\h: 406/938--D.loss:0.3014,G.loss:2.0046\n",
            "Epoch: 196/200-Batch\\h: 407/938--D.loss:0.3856,G.loss:1.7812\n",
            "Epoch: 196/200-Batch\\h: 408/938--D.loss:0.3552,G.loss:1.3511\n",
            "Epoch: 196/200-Batch\\h: 409/938--D.loss:0.3352,G.loss:1.4325\n",
            "Epoch: 196/200-Batch\\h: 410/938--D.loss:0.3850,G.loss:1.6494\n",
            "Epoch: 196/200-Batch\\h: 411/938--D.loss:0.3325,G.loss:1.8296\n",
            "Epoch: 196/200-Batch\\h: 412/938--D.loss:0.3446,G.loss:1.5900\n",
            "Epoch: 196/200-Batch\\h: 413/938--D.loss:0.3978,G.loss:1.4798\n",
            "Epoch: 196/200-Batch\\h: 414/938--D.loss:0.3474,G.loss:1.9100\n",
            "Epoch: 196/200-Batch\\h: 415/938--D.loss:0.3234,G.loss:1.8298\n",
            "Epoch: 196/200-Batch\\h: 416/938--D.loss:0.3828,G.loss:1.4528\n",
            "Epoch: 196/200-Batch\\h: 417/938--D.loss:0.4926,G.loss:1.4682\n",
            "Epoch: 196/200-Batch\\h: 418/938--D.loss:0.4969,G.loss:2.0213\n",
            "Epoch: 196/200-Batch\\h: 419/938--D.loss:0.2955,G.loss:1.4577\n",
            "Epoch: 196/200-Batch\\h: 420/938--D.loss:0.2783,G.loss:1.6189\n",
            "Epoch: 196/200-Batch\\h: 421/938--D.loss:0.3347,G.loss:1.6854\n",
            "Epoch: 196/200-Batch\\h: 422/938--D.loss:0.3004,G.loss:1.6921\n",
            "Epoch: 196/200-Batch\\h: 423/938--D.loss:0.3172,G.loss:1.9704\n",
            "Epoch: 196/200-Batch\\h: 424/938--D.loss:0.4245,G.loss:1.6339\n",
            "Epoch: 196/200-Batch\\h: 425/938--D.loss:0.3704,G.loss:1.5497\n",
            "Epoch: 196/200-Batch\\h: 426/938--D.loss:0.3512,G.loss:1.9846\n",
            "Epoch: 196/200-Batch\\h: 427/938--D.loss:0.3038,G.loss:1.6112\n",
            "Epoch: 196/200-Batch\\h: 428/938--D.loss:0.3519,G.loss:1.5440\n",
            "Epoch: 196/200-Batch\\h: 429/938--D.loss:0.4565,G.loss:1.8943\n",
            "Epoch: 196/200-Batch\\h: 430/938--D.loss:0.2645,G.loss:2.0088\n",
            "Epoch: 196/200-Batch\\h: 431/938--D.loss:0.3664,G.loss:1.9008\n",
            "Epoch: 196/200-Batch\\h: 432/938--D.loss:0.5181,G.loss:1.5501\n",
            "Epoch: 196/200-Batch\\h: 433/938--D.loss:0.4335,G.loss:1.5513\n",
            "Epoch: 196/200-Batch\\h: 434/938--D.loss:0.3270,G.loss:1.9316\n",
            "Epoch: 196/200-Batch\\h: 435/938--D.loss:0.3089,G.loss:1.5353\n",
            "Epoch: 196/200-Batch\\h: 436/938--D.loss:0.3756,G.loss:1.8276\n",
            "Epoch: 196/200-Batch\\h: 437/938--D.loss:0.3072,G.loss:1.7663\n",
            "Epoch: 196/200-Batch\\h: 438/938--D.loss:0.3402,G.loss:1.6643\n",
            "Epoch: 196/200-Batch\\h: 439/938--D.loss:0.4253,G.loss:1.6973\n",
            "Epoch: 196/200-Batch\\h: 440/938--D.loss:0.4007,G.loss:1.3392\n",
            "Epoch: 196/200-Batch\\h: 441/938--D.loss:0.3740,G.loss:1.7827\n",
            "Epoch: 196/200-Batch\\h: 442/938--D.loss:0.3953,G.loss:1.5209\n",
            "Epoch: 196/200-Batch\\h: 443/938--D.loss:0.4101,G.loss:1.7701\n",
            "Epoch: 196/200-Batch\\h: 444/938--D.loss:0.4098,G.loss:1.7824\n",
            "Epoch: 196/200-Batch\\h: 445/938--D.loss:0.3805,G.loss:1.3675\n",
            "Epoch: 196/200-Batch\\h: 446/938--D.loss:0.3426,G.loss:1.7275\n",
            "Epoch: 196/200-Batch\\h: 447/938--D.loss:0.3715,G.loss:1.8045\n",
            "Epoch: 196/200-Batch\\h: 448/938--D.loss:0.3206,G.loss:1.5756\n",
            "Epoch: 196/200-Batch\\h: 449/938--D.loss:0.2996,G.loss:1.8606\n",
            "Epoch: 196/200-Batch\\h: 450/938--D.loss:0.3741,G.loss:1.7330\n",
            "Epoch: 196/200-Batch\\h: 451/938--D.loss:0.3290,G.loss:1.6530\n",
            "Epoch: 196/200-Batch\\h: 452/938--D.loss:0.4167,G.loss:1.6680\n",
            "Epoch: 196/200-Batch\\h: 453/938--D.loss:0.4152,G.loss:1.6780\n",
            "Epoch: 196/200-Batch\\h: 454/938--D.loss:0.4015,G.loss:1.4644\n",
            "Epoch: 196/200-Batch\\h: 455/938--D.loss:0.3463,G.loss:1.5975\n",
            "Epoch: 196/200-Batch\\h: 456/938--D.loss:0.3929,G.loss:1.3759\n",
            "Epoch: 196/200-Batch\\h: 457/938--D.loss:0.3828,G.loss:2.0815\n",
            "Epoch: 196/200-Batch\\h: 458/938--D.loss:0.4167,G.loss:1.2856\n",
            "Epoch: 196/200-Batch\\h: 459/938--D.loss:0.3005,G.loss:1.6887\n",
            "Epoch: 196/200-Batch\\h: 460/938--D.loss:0.3011,G.loss:1.7754\n",
            "Epoch: 196/200-Batch\\h: 461/938--D.loss:0.4093,G.loss:1.6875\n",
            "Epoch: 196/200-Batch\\h: 462/938--D.loss:0.3594,G.loss:1.7728\n",
            "Epoch: 196/200-Batch\\h: 463/938--D.loss:0.3692,G.loss:1.5080\n",
            "Epoch: 196/200-Batch\\h: 464/938--D.loss:0.4224,G.loss:1.8032\n",
            "Epoch: 196/200-Batch\\h: 465/938--D.loss:0.4114,G.loss:1.4370\n",
            "Epoch: 196/200-Batch\\h: 466/938--D.loss:0.2844,G.loss:1.7369\n",
            "Epoch: 196/200-Batch\\h: 467/938--D.loss:0.3233,G.loss:1.9864\n",
            "Epoch: 196/200-Batch\\h: 468/938--D.loss:0.4869,G.loss:1.3453\n",
            "Epoch: 196/200-Batch\\h: 469/938--D.loss:0.3812,G.loss:1.4362\n",
            "Epoch: 196/200-Batch\\h: 470/938--D.loss:0.3475,G.loss:1.4402\n",
            "Epoch: 196/200-Batch\\h: 471/938--D.loss:0.3961,G.loss:1.9944\n",
            "Epoch: 196/200-Batch\\h: 472/938--D.loss:0.3370,G.loss:1.4637\n",
            "Epoch: 196/200-Batch\\h: 473/938--D.loss:0.3024,G.loss:1.7041\n",
            "Epoch: 196/200-Batch\\h: 474/938--D.loss:0.4369,G.loss:1.4854\n",
            "Epoch: 196/200-Batch\\h: 475/938--D.loss:0.3735,G.loss:1.5284\n",
            "Epoch: 196/200-Batch\\h: 476/938--D.loss:0.3190,G.loss:1.7601\n",
            "Epoch: 196/200-Batch\\h: 477/938--D.loss:0.3471,G.loss:1.6638\n",
            "Epoch: 196/200-Batch\\h: 478/938--D.loss:0.4260,G.loss:1.6412\n",
            "Epoch: 196/200-Batch\\h: 479/938--D.loss:0.3648,G.loss:1.9187\n",
            "Epoch: 196/200-Batch\\h: 480/938--D.loss:0.3969,G.loss:1.7560\n",
            "Epoch: 196/200-Batch\\h: 481/938--D.loss:0.4242,G.loss:1.3572\n",
            "Epoch: 196/200-Batch\\h: 482/938--D.loss:0.2771,G.loss:1.7899\n",
            "Epoch: 196/200-Batch\\h: 483/938--D.loss:0.2449,G.loss:2.0178\n",
            "Epoch: 196/200-Batch\\h: 484/938--D.loss:0.3081,G.loss:1.9421\n",
            "Epoch: 196/200-Batch\\h: 485/938--D.loss:0.4489,G.loss:1.7368\n",
            "Epoch: 196/200-Batch\\h: 486/938--D.loss:0.3411,G.loss:1.8888\n",
            "Epoch: 196/200-Batch\\h: 487/938--D.loss:0.3018,G.loss:1.7728\n",
            "Epoch: 196/200-Batch\\h: 488/938--D.loss:0.3083,G.loss:1.6513\n",
            "Epoch: 196/200-Batch\\h: 489/938--D.loss:0.3065,G.loss:1.8581\n",
            "Epoch: 196/200-Batch\\h: 490/938--D.loss:0.4098,G.loss:1.9353\n",
            "Epoch: 196/200-Batch\\h: 491/938--D.loss:0.2794,G.loss:1.6898\n",
            "Epoch: 196/200-Batch\\h: 492/938--D.loss:0.3059,G.loss:1.7736\n",
            "Epoch: 196/200-Batch\\h: 493/938--D.loss:0.2923,G.loss:1.7091\n",
            "Epoch: 196/200-Batch\\h: 494/938--D.loss:0.4961,G.loss:1.9728\n",
            "Epoch: 196/200-Batch\\h: 495/938--D.loss:0.3658,G.loss:1.4771\n",
            "Epoch: 196/200-Batch\\h: 496/938--D.loss:0.3426,G.loss:1.3610\n",
            "Epoch: 196/200-Batch\\h: 497/938--D.loss:0.3910,G.loss:1.8340\n",
            "Epoch: 196/200-Batch\\h: 498/938--D.loss:0.3547,G.loss:1.7967\n",
            "Epoch: 196/200-Batch\\h: 499/938--D.loss:0.4790,G.loss:1.4294\n",
            "Epoch: 196/200-Batch\\h: 500/938--D.loss:0.2951,G.loss:1.4571\n",
            "Epoch: 196/200-Batch\\h: 501/938--D.loss:0.4980,G.loss:1.6810\n",
            "Epoch: 196/200-Batch\\h: 502/938--D.loss:0.3129,G.loss:1.7590\n",
            "Epoch: 196/200-Batch\\h: 503/938--D.loss:0.2578,G.loss:1.8918\n",
            "Epoch: 196/200-Batch\\h: 504/938--D.loss:0.2605,G.loss:1.6274\n",
            "Epoch: 196/200-Batch\\h: 505/938--D.loss:0.3448,G.loss:1.8407\n",
            "Epoch: 196/200-Batch\\h: 506/938--D.loss:0.4381,G.loss:1.7486\n",
            "Epoch: 196/200-Batch\\h: 507/938--D.loss:0.3456,G.loss:1.7121\n",
            "Epoch: 196/200-Batch\\h: 508/938--D.loss:0.3814,G.loss:1.4219\n",
            "Epoch: 196/200-Batch\\h: 509/938--D.loss:0.3248,G.loss:1.8819\n",
            "Epoch: 196/200-Batch\\h: 510/938--D.loss:0.3875,G.loss:1.7816\n",
            "Epoch: 196/200-Batch\\h: 511/938--D.loss:0.2946,G.loss:1.5296\n",
            "Epoch: 196/200-Batch\\h: 512/938--D.loss:0.3559,G.loss:1.8789\n",
            "Epoch: 196/200-Batch\\h: 513/938--D.loss:0.4337,G.loss:1.5599\n",
            "Epoch: 196/200-Batch\\h: 514/938--D.loss:0.4689,G.loss:1.3349\n",
            "Epoch: 196/200-Batch\\h: 515/938--D.loss:0.4113,G.loss:1.3706\n",
            "Epoch: 196/200-Batch\\h: 516/938--D.loss:0.3394,G.loss:1.6638\n",
            "Epoch: 196/200-Batch\\h: 517/938--D.loss:0.3770,G.loss:1.9086\n",
            "Epoch: 196/200-Batch\\h: 518/938--D.loss:0.3679,G.loss:1.4460\n",
            "Epoch: 196/200-Batch\\h: 519/938--D.loss:0.4097,G.loss:1.5418\n",
            "Epoch: 196/200-Batch\\h: 520/938--D.loss:0.3140,G.loss:1.5927\n",
            "Epoch: 196/200-Batch\\h: 521/938--D.loss:0.3085,G.loss:1.7849\n",
            "Epoch: 196/200-Batch\\h: 522/938--D.loss:0.4346,G.loss:1.6120\n",
            "Epoch: 196/200-Batch\\h: 523/938--D.loss:0.3204,G.loss:1.4951\n",
            "Epoch: 196/200-Batch\\h: 524/938--D.loss:0.3389,G.loss:1.6391\n",
            "Epoch: 196/200-Batch\\h: 525/938--D.loss:0.2859,G.loss:1.7109\n",
            "Epoch: 196/200-Batch\\h: 526/938--D.loss:0.3515,G.loss:1.6846\n",
            "Epoch: 196/200-Batch\\h: 527/938--D.loss:0.3613,G.loss:1.8437\n",
            "Epoch: 196/200-Batch\\h: 528/938--D.loss:0.3741,G.loss:1.8657\n",
            "Epoch: 196/200-Batch\\h: 529/938--D.loss:0.3161,G.loss:1.6029\n",
            "Epoch: 196/200-Batch\\h: 530/938--D.loss:0.3445,G.loss:1.6808\n",
            "Epoch: 196/200-Batch\\h: 531/938--D.loss:0.3403,G.loss:1.6182\n",
            "Epoch: 196/200-Batch\\h: 532/938--D.loss:0.4427,G.loss:1.8055\n",
            "Epoch: 196/200-Batch\\h: 533/938--D.loss:0.3563,G.loss:1.4549\n",
            "Epoch: 196/200-Batch\\h: 534/938--D.loss:0.4390,G.loss:1.5072\n",
            "Epoch: 196/200-Batch\\h: 535/938--D.loss:0.2615,G.loss:1.9277\n",
            "Epoch: 196/200-Batch\\h: 536/938--D.loss:0.4163,G.loss:2.0197\n",
            "Epoch: 196/200-Batch\\h: 537/938--D.loss:0.4314,G.loss:1.2562\n",
            "Epoch: 196/200-Batch\\h: 538/938--D.loss:0.3464,G.loss:1.7593\n",
            "Epoch: 196/200-Batch\\h: 539/938--D.loss:0.3723,G.loss:1.8864\n",
            "Epoch: 196/200-Batch\\h: 540/938--D.loss:0.3713,G.loss:1.4802\n",
            "Epoch: 196/200-Batch\\h: 541/938--D.loss:0.3051,G.loss:1.7850\n",
            "Epoch: 196/200-Batch\\h: 542/938--D.loss:0.3180,G.loss:1.7177\n",
            "Epoch: 196/200-Batch\\h: 543/938--D.loss:0.3654,G.loss:1.6087\n",
            "Epoch: 196/200-Batch\\h: 544/938--D.loss:0.2949,G.loss:1.7222\n",
            "Epoch: 196/200-Batch\\h: 545/938--D.loss:0.4229,G.loss:2.0286\n",
            "Epoch: 196/200-Batch\\h: 546/938--D.loss:0.3530,G.loss:1.4941\n",
            "Epoch: 196/200-Batch\\h: 547/938--D.loss:0.3872,G.loss:1.4466\n",
            "Epoch: 196/200-Batch\\h: 548/938--D.loss:0.4700,G.loss:1.7770\n",
            "Epoch: 196/200-Batch\\h: 549/938--D.loss:0.3088,G.loss:1.6236\n",
            "Epoch: 196/200-Batch\\h: 550/938--D.loss:0.3997,G.loss:1.9986\n",
            "Epoch: 196/200-Batch\\h: 551/938--D.loss:0.4212,G.loss:1.1831\n",
            "Epoch: 196/200-Batch\\h: 552/938--D.loss:0.4386,G.loss:1.5979\n",
            "Epoch: 196/200-Batch\\h: 553/938--D.loss:0.3722,G.loss:1.6788\n",
            "Epoch: 196/200-Batch\\h: 554/938--D.loss:0.3926,G.loss:1.7625\n",
            "Epoch: 196/200-Batch\\h: 555/938--D.loss:0.4060,G.loss:1.2908\n",
            "Epoch: 196/200-Batch\\h: 556/938--D.loss:0.3129,G.loss:1.5696\n",
            "Epoch: 196/200-Batch\\h: 557/938--D.loss:0.3958,G.loss:2.2655\n",
            "Epoch: 196/200-Batch\\h: 558/938--D.loss:0.4038,G.loss:1.7322\n",
            "Epoch: 196/200-Batch\\h: 559/938--D.loss:0.3065,G.loss:1.3916\n",
            "Epoch: 196/200-Batch\\h: 560/938--D.loss:0.4072,G.loss:1.8849\n",
            "Epoch: 196/200-Batch\\h: 561/938--D.loss:0.3909,G.loss:1.7527\n",
            "Epoch: 196/200-Batch\\h: 562/938--D.loss:0.3486,G.loss:1.4358\n",
            "Epoch: 196/200-Batch\\h: 563/938--D.loss:0.3546,G.loss:1.6211\n",
            "Epoch: 196/200-Batch\\h: 564/938--D.loss:0.3345,G.loss:1.6216\n",
            "Epoch: 196/200-Batch\\h: 565/938--D.loss:0.3690,G.loss:1.6943\n",
            "Epoch: 196/200-Batch\\h: 566/938--D.loss:0.4222,G.loss:1.6368\n",
            "Epoch: 196/200-Batch\\h: 567/938--D.loss:0.3178,G.loss:1.6216\n",
            "Epoch: 196/200-Batch\\h: 568/938--D.loss:0.4049,G.loss:1.7591\n",
            "Epoch: 196/200-Batch\\h: 569/938--D.loss:0.3272,G.loss:1.3701\n",
            "Epoch: 196/200-Batch\\h: 570/938--D.loss:0.3738,G.loss:1.8606\n",
            "Epoch: 196/200-Batch\\h: 571/938--D.loss:0.3933,G.loss:1.7257\n",
            "Epoch: 196/200-Batch\\h: 572/938--D.loss:0.3031,G.loss:1.6344\n",
            "Epoch: 196/200-Batch\\h: 573/938--D.loss:0.3487,G.loss:1.6427\n",
            "Epoch: 196/200-Batch\\h: 574/938--D.loss:0.3375,G.loss:1.7931\n",
            "Epoch: 196/200-Batch\\h: 575/938--D.loss:0.2680,G.loss:1.7401\n",
            "Epoch: 196/200-Batch\\h: 576/938--D.loss:0.3507,G.loss:1.7330\n",
            "Epoch: 196/200-Batch\\h: 577/938--D.loss:0.3064,G.loss:1.6808\n",
            "Epoch: 196/200-Batch\\h: 578/938--D.loss:0.3752,G.loss:1.7232\n",
            "Epoch: 196/200-Batch\\h: 579/938--D.loss:0.3197,G.loss:1.7420\n",
            "Epoch: 196/200-Batch\\h: 580/938--D.loss:0.3051,G.loss:1.8568\n",
            "Epoch: 196/200-Batch\\h: 581/938--D.loss:0.3176,G.loss:1.5520\n",
            "Epoch: 196/200-Batch\\h: 582/938--D.loss:0.3396,G.loss:1.8752\n",
            "Epoch: 196/200-Batch\\h: 583/938--D.loss:0.3797,G.loss:1.6100\n",
            "Epoch: 196/200-Batch\\h: 584/938--D.loss:0.3770,G.loss:2.0243\n",
            "Epoch: 196/200-Batch\\h: 585/938--D.loss:0.3336,G.loss:1.6164\n",
            "Epoch: 196/200-Batch\\h: 586/938--D.loss:0.3357,G.loss:1.5469\n",
            "Epoch: 196/200-Batch\\h: 587/938--D.loss:0.3294,G.loss:1.9250\n",
            "Epoch: 196/200-Batch\\h: 588/938--D.loss:0.4577,G.loss:1.5726\n",
            "Epoch: 196/200-Batch\\h: 589/938--D.loss:0.3969,G.loss:1.4484\n",
            "Epoch: 196/200-Batch\\h: 590/938--D.loss:0.3048,G.loss:2.0466\n",
            "Epoch: 196/200-Batch\\h: 591/938--D.loss:0.4409,G.loss:1.5396\n",
            "Epoch: 196/200-Batch\\h: 592/938--D.loss:0.3716,G.loss:1.6058\n",
            "Epoch: 196/200-Batch\\h: 593/938--D.loss:0.2757,G.loss:1.9494\n",
            "Epoch: 196/200-Batch\\h: 594/938--D.loss:0.3304,G.loss:1.8779\n",
            "Epoch: 196/200-Batch\\h: 595/938--D.loss:0.3821,G.loss:1.4820\n",
            "Epoch: 196/200-Batch\\h: 596/938--D.loss:0.3245,G.loss:1.6521\n",
            "Epoch: 196/200-Batch\\h: 597/938--D.loss:0.4792,G.loss:1.4940\n",
            "Epoch: 196/200-Batch\\h: 598/938--D.loss:0.3838,G.loss:1.3999\n",
            "Epoch: 196/200-Batch\\h: 599/938--D.loss:0.3774,G.loss:1.6561\n",
            "Epoch: 196/200-Batch\\h: 600/938--D.loss:0.3486,G.loss:1.4845\n",
            "Epoch: 196/200-Batch\\h: 601/938--D.loss:0.3389,G.loss:1.6585\n",
            "Epoch: 196/200-Batch\\h: 602/938--D.loss:0.3765,G.loss:1.6456\n",
            "Epoch: 196/200-Batch\\h: 603/938--D.loss:0.3544,G.loss:1.8235\n",
            "Epoch: 196/200-Batch\\h: 604/938--D.loss:0.3042,G.loss:1.7506\n",
            "Epoch: 196/200-Batch\\h: 605/938--D.loss:0.3795,G.loss:1.7131\n",
            "Epoch: 196/200-Batch\\h: 606/938--D.loss:0.4272,G.loss:1.3196\n",
            "Epoch: 196/200-Batch\\h: 607/938--D.loss:0.2728,G.loss:1.8825\n",
            "Epoch: 196/200-Batch\\h: 608/938--D.loss:0.3281,G.loss:1.6946\n",
            "Epoch: 196/200-Batch\\h: 609/938--D.loss:0.4587,G.loss:1.6532\n",
            "Epoch: 196/200-Batch\\h: 610/938--D.loss:0.3347,G.loss:1.7775\n",
            "Epoch: 196/200-Batch\\h: 611/938--D.loss:0.4252,G.loss:1.7275\n",
            "Epoch: 196/200-Batch\\h: 612/938--D.loss:0.4292,G.loss:1.3061\n",
            "Epoch: 196/200-Batch\\h: 613/938--D.loss:0.2745,G.loss:1.6219\n",
            "Epoch: 196/200-Batch\\h: 614/938--D.loss:0.3663,G.loss:2.0140\n",
            "Epoch: 196/200-Batch\\h: 615/938--D.loss:0.3224,G.loss:1.8106\n",
            "Epoch: 196/200-Batch\\h: 616/938--D.loss:0.3865,G.loss:1.4760\n",
            "Epoch: 196/200-Batch\\h: 617/938--D.loss:0.3927,G.loss:1.4702\n",
            "Epoch: 196/200-Batch\\h: 618/938--D.loss:0.3669,G.loss:1.6409\n",
            "Epoch: 196/200-Batch\\h: 619/938--D.loss:0.3357,G.loss:1.6206\n",
            "Epoch: 196/200-Batch\\h: 620/938--D.loss:0.3195,G.loss:1.5631\n",
            "Epoch: 196/200-Batch\\h: 621/938--D.loss:0.3238,G.loss:2.0316\n",
            "Epoch: 196/200-Batch\\h: 622/938--D.loss:0.2823,G.loss:1.8846\n",
            "Epoch: 196/200-Batch\\h: 623/938--D.loss:0.3310,G.loss:1.8859\n",
            "Epoch: 196/200-Batch\\h: 624/938--D.loss:0.3187,G.loss:1.6331\n",
            "Epoch: 196/200-Batch\\h: 625/938--D.loss:0.3853,G.loss:2.0701\n",
            "Epoch: 196/200-Batch\\h: 626/938--D.loss:0.3576,G.loss:2.1918\n",
            "Epoch: 196/200-Batch\\h: 627/938--D.loss:0.4166,G.loss:1.3407\n",
            "Epoch: 196/200-Batch\\h: 628/938--D.loss:0.4009,G.loss:1.1524\n",
            "Epoch: 196/200-Batch\\h: 629/938--D.loss:0.3978,G.loss:1.8060\n",
            "Epoch: 196/200-Batch\\h: 630/938--D.loss:0.3854,G.loss:1.7259\n",
            "Epoch: 196/200-Batch\\h: 631/938--D.loss:0.3892,G.loss:1.4022\n",
            "Epoch: 196/200-Batch\\h: 632/938--D.loss:0.4096,G.loss:1.9489\n",
            "Epoch: 196/200-Batch\\h: 633/938--D.loss:0.3276,G.loss:1.5455\n",
            "Epoch: 196/200-Batch\\h: 634/938--D.loss:0.3132,G.loss:1.5872\n",
            "Epoch: 196/200-Batch\\h: 635/938--D.loss:0.3320,G.loss:2.1986\n",
            "Epoch: 196/200-Batch\\h: 636/938--D.loss:0.4899,G.loss:1.7324\n",
            "Epoch: 196/200-Batch\\h: 637/938--D.loss:0.3309,G.loss:1.4536\n",
            "Epoch: 196/200-Batch\\h: 638/938--D.loss:0.4185,G.loss:1.5608\n",
            "Epoch: 196/200-Batch\\h: 639/938--D.loss:0.3403,G.loss:1.6734\n",
            "Epoch: 196/200-Batch\\h: 640/938--D.loss:0.2963,G.loss:1.7192\n",
            "Epoch: 196/200-Batch\\h: 641/938--D.loss:0.3506,G.loss:1.5579\n",
            "Epoch: 196/200-Batch\\h: 642/938--D.loss:0.4462,G.loss:1.6842\n",
            "Epoch: 196/200-Batch\\h: 643/938--D.loss:0.3250,G.loss:1.5157\n",
            "Epoch: 196/200-Batch\\h: 644/938--D.loss:0.3204,G.loss:1.6299\n",
            "Epoch: 196/200-Batch\\h: 645/938--D.loss:0.3488,G.loss:1.8563\n",
            "Epoch: 196/200-Batch\\h: 646/938--D.loss:0.2608,G.loss:1.9588\n",
            "Epoch: 196/200-Batch\\h: 647/938--D.loss:0.3850,G.loss:1.6944\n",
            "Epoch: 196/200-Batch\\h: 648/938--D.loss:0.3621,G.loss:1.4551\n",
            "Epoch: 196/200-Batch\\h: 649/938--D.loss:0.3817,G.loss:1.5055\n",
            "Epoch: 196/200-Batch\\h: 650/938--D.loss:0.3579,G.loss:1.7734\n",
            "Epoch: 196/200-Batch\\h: 651/938--D.loss:0.3564,G.loss:1.6912\n",
            "Epoch: 196/200-Batch\\h: 652/938--D.loss:0.3460,G.loss:1.4666\n",
            "Epoch: 196/200-Batch\\h: 653/938--D.loss:0.2897,G.loss:1.7889\n",
            "Epoch: 196/200-Batch\\h: 654/938--D.loss:0.3447,G.loss:1.7459\n",
            "Epoch: 196/200-Batch\\h: 655/938--D.loss:0.3525,G.loss:1.4922\n",
            "Epoch: 196/200-Batch\\h: 656/938--D.loss:0.3909,G.loss:1.9254\n",
            "Epoch: 196/200-Batch\\h: 657/938--D.loss:0.3416,G.loss:1.4482\n",
            "Epoch: 196/200-Batch\\h: 658/938--D.loss:0.4285,G.loss:1.8046\n",
            "Epoch: 196/200-Batch\\h: 659/938--D.loss:0.2858,G.loss:1.6434\n",
            "Epoch: 196/200-Batch\\h: 660/938--D.loss:0.3578,G.loss:1.7285\n",
            "Epoch: 196/200-Batch\\h: 661/938--D.loss:0.3888,G.loss:1.9891\n",
            "Epoch: 196/200-Batch\\h: 662/938--D.loss:0.3530,G.loss:1.6373\n",
            "Epoch: 196/200-Batch\\h: 663/938--D.loss:0.3722,G.loss:1.3373\n",
            "Epoch: 196/200-Batch\\h: 664/938--D.loss:0.3737,G.loss:1.6874\n",
            "Epoch: 196/200-Batch\\h: 665/938--D.loss:0.3288,G.loss:1.6888\n",
            "Epoch: 196/200-Batch\\h: 666/938--D.loss:0.3561,G.loss:1.6925\n",
            "Epoch: 196/200-Batch\\h: 667/938--D.loss:0.4276,G.loss:1.6180\n",
            "Epoch: 196/200-Batch\\h: 668/938--D.loss:0.3207,G.loss:1.8383\n",
            "Epoch: 196/200-Batch\\h: 669/938--D.loss:0.3705,G.loss:1.8180\n",
            "Epoch: 196/200-Batch\\h: 670/938--D.loss:0.3122,G.loss:1.4355\n",
            "Epoch: 196/200-Batch\\h: 671/938--D.loss:0.3540,G.loss:1.7486\n",
            "Epoch: 196/200-Batch\\h: 672/938--D.loss:0.3815,G.loss:1.8678\n",
            "Epoch: 196/200-Batch\\h: 673/938--D.loss:0.4104,G.loss:1.4338\n",
            "Epoch: 196/200-Batch\\h: 674/938--D.loss:0.3938,G.loss:1.6473\n",
            "Epoch: 196/200-Batch\\h: 675/938--D.loss:0.3255,G.loss:1.5366\n",
            "Epoch: 196/200-Batch\\h: 676/938--D.loss:0.4049,G.loss:1.6249\n",
            "Epoch: 196/200-Batch\\h: 677/938--D.loss:0.3467,G.loss:1.7336\n",
            "Epoch: 196/200-Batch\\h: 678/938--D.loss:0.3172,G.loss:1.6245\n",
            "Epoch: 196/200-Batch\\h: 679/938--D.loss:0.3813,G.loss:2.0520\n",
            "Epoch: 196/200-Batch\\h: 680/938--D.loss:0.3450,G.loss:1.6554\n",
            "Epoch: 196/200-Batch\\h: 681/938--D.loss:0.4483,G.loss:1.6063\n",
            "Epoch: 196/200-Batch\\h: 682/938--D.loss:0.3583,G.loss:1.4077\n",
            "Epoch: 196/200-Batch\\h: 683/938--D.loss:0.3360,G.loss:1.5227\n",
            "Epoch: 196/200-Batch\\h: 684/938--D.loss:0.3743,G.loss:2.0015\n",
            "Epoch: 196/200-Batch\\h: 685/938--D.loss:0.3415,G.loss:1.7740\n",
            "Epoch: 196/200-Batch\\h: 686/938--D.loss:0.3026,G.loss:1.3046\n",
            "Epoch: 196/200-Batch\\h: 687/938--D.loss:0.2915,G.loss:1.6553\n",
            "Epoch: 196/200-Batch\\h: 688/938--D.loss:0.3685,G.loss:1.9537\n",
            "Epoch: 196/200-Batch\\h: 689/938--D.loss:0.3434,G.loss:1.9188\n",
            "Epoch: 196/200-Batch\\h: 690/938--D.loss:0.3372,G.loss:1.6250\n",
            "Epoch: 196/200-Batch\\h: 691/938--D.loss:0.3297,G.loss:2.0059\n",
            "Epoch: 196/200-Batch\\h: 692/938--D.loss:0.3022,G.loss:1.7685\n",
            "Epoch: 196/200-Batch\\h: 693/938--D.loss:0.3835,G.loss:1.5761\n",
            "Epoch: 196/200-Batch\\h: 694/938--D.loss:0.4386,G.loss:1.6361\n",
            "Epoch: 196/200-Batch\\h: 695/938--D.loss:0.3714,G.loss:1.4646\n",
            "Epoch: 196/200-Batch\\h: 696/938--D.loss:0.4485,G.loss:1.6770\n",
            "Epoch: 196/200-Batch\\h: 697/938--D.loss:0.3790,G.loss:1.5067\n",
            "Epoch: 196/200-Batch\\h: 698/938--D.loss:0.3141,G.loss:1.7257\n",
            "Epoch: 196/200-Batch\\h: 699/938--D.loss:0.3705,G.loss:1.9037\n",
            "Epoch: 196/200-Batch\\h: 700/938--D.loss:0.3423,G.loss:1.3981\n",
            "Epoch: 196/200-Batch\\h: 701/938--D.loss:0.4571,G.loss:1.5255\n",
            "Epoch: 196/200-Batch\\h: 702/938--D.loss:0.3877,G.loss:2.2000\n",
            "Epoch: 196/200-Batch\\h: 703/938--D.loss:0.3344,G.loss:1.3809\n",
            "Epoch: 196/200-Batch\\h: 704/938--D.loss:0.4211,G.loss:1.5599\n",
            "Epoch: 196/200-Batch\\h: 705/938--D.loss:0.3720,G.loss:1.6675\n",
            "Epoch: 196/200-Batch\\h: 706/938--D.loss:0.3351,G.loss:1.9856\n",
            "Epoch: 196/200-Batch\\h: 707/938--D.loss:0.3489,G.loss:1.6791\n",
            "Epoch: 196/200-Batch\\h: 708/938--D.loss:0.3970,G.loss:1.8697\n",
            "Epoch: 196/200-Batch\\h: 709/938--D.loss:0.3981,G.loss:1.5259\n",
            "Epoch: 196/200-Batch\\h: 710/938--D.loss:0.3888,G.loss:1.3127\n",
            "Epoch: 196/200-Batch\\h: 711/938--D.loss:0.3620,G.loss:1.7512\n",
            "Epoch: 196/200-Batch\\h: 712/938--D.loss:0.3831,G.loss:1.7900\n",
            "Epoch: 196/200-Batch\\h: 713/938--D.loss:0.2843,G.loss:1.4469\n",
            "Epoch: 196/200-Batch\\h: 714/938--D.loss:0.3500,G.loss:1.7138\n",
            "Epoch: 196/200-Batch\\h: 715/938--D.loss:0.4414,G.loss:1.5905\n",
            "Epoch: 196/200-Batch\\h: 716/938--D.loss:0.3403,G.loss:1.7392\n",
            "Epoch: 196/200-Batch\\h: 717/938--D.loss:0.4246,G.loss:1.7960\n",
            "Epoch: 196/200-Batch\\h: 718/938--D.loss:0.3516,G.loss:1.4956\n",
            "Epoch: 196/200-Batch\\h: 719/938--D.loss:0.3971,G.loss:1.5090\n",
            "Epoch: 196/200-Batch\\h: 720/938--D.loss:0.3067,G.loss:1.7085\n",
            "Epoch: 196/200-Batch\\h: 721/938--D.loss:0.3582,G.loss:2.0306\n",
            "Epoch: 196/200-Batch\\h: 722/938--D.loss:0.3415,G.loss:1.8771\n",
            "Epoch: 196/200-Batch\\h: 723/938--D.loss:0.4492,G.loss:1.7446\n",
            "Epoch: 196/200-Batch\\h: 724/938--D.loss:0.4114,G.loss:1.1346\n",
            "Epoch: 196/200-Batch\\h: 725/938--D.loss:0.3213,G.loss:1.6359\n",
            "Epoch: 196/200-Batch\\h: 726/938--D.loss:0.4143,G.loss:2.0182\n",
            "Epoch: 196/200-Batch\\h: 727/938--D.loss:0.3474,G.loss:1.6068\n",
            "Epoch: 196/200-Batch\\h: 728/938--D.loss:0.3883,G.loss:1.5425\n",
            "Epoch: 196/200-Batch\\h: 729/938--D.loss:0.4228,G.loss:1.5293\n",
            "Epoch: 196/200-Batch\\h: 730/938--D.loss:0.4149,G.loss:1.4639\n",
            "Epoch: 196/200-Batch\\h: 731/938--D.loss:0.3523,G.loss:1.3314\n",
            "Epoch: 196/200-Batch\\h: 732/938--D.loss:0.3230,G.loss:1.7233\n",
            "Epoch: 196/200-Batch\\h: 733/938--D.loss:0.3144,G.loss:1.8919\n",
            "Epoch: 196/200-Batch\\h: 734/938--D.loss:0.3193,G.loss:1.6467\n",
            "Epoch: 196/200-Batch\\h: 735/938--D.loss:0.3643,G.loss:1.5169\n",
            "Epoch: 196/200-Batch\\h: 736/938--D.loss:0.3622,G.loss:1.5104\n",
            "Epoch: 196/200-Batch\\h: 737/938--D.loss:0.3256,G.loss:1.9703\n",
            "Epoch: 196/200-Batch\\h: 738/938--D.loss:0.3713,G.loss:1.8983\n",
            "Epoch: 196/200-Batch\\h: 739/938--D.loss:0.3545,G.loss:1.4325\n",
            "Epoch: 196/200-Batch\\h: 740/938--D.loss:0.4359,G.loss:1.4072\n",
            "Epoch: 196/200-Batch\\h: 741/938--D.loss:0.3224,G.loss:1.5621\n",
            "Epoch: 196/200-Batch\\h: 742/938--D.loss:0.2973,G.loss:1.9711\n",
            "Epoch: 196/200-Batch\\h: 743/938--D.loss:0.3175,G.loss:1.9316\n",
            "Epoch: 196/200-Batch\\h: 744/938--D.loss:0.4567,G.loss:1.8582\n",
            "Epoch: 196/200-Batch\\h: 745/938--D.loss:0.3771,G.loss:1.1498\n",
            "Epoch: 196/200-Batch\\h: 746/938--D.loss:0.3727,G.loss:1.3510\n",
            "Epoch: 196/200-Batch\\h: 747/938--D.loss:0.3836,G.loss:1.8244\n",
            "Epoch: 196/200-Batch\\h: 748/938--D.loss:0.2707,G.loss:1.7777\n",
            "Epoch: 196/200-Batch\\h: 749/938--D.loss:0.3687,G.loss:1.7483\n",
            "Epoch: 196/200-Batch\\h: 750/938--D.loss:0.3051,G.loss:1.8185\n",
            "Epoch: 196/200-Batch\\h: 751/938--D.loss:0.4215,G.loss:1.7552\n",
            "Epoch: 196/200-Batch\\h: 752/938--D.loss:0.3811,G.loss:1.2792\n",
            "Epoch: 196/200-Batch\\h: 753/938--D.loss:0.4476,G.loss:1.8412\n",
            "Epoch: 196/200-Batch\\h: 754/938--D.loss:0.3941,G.loss:1.4579\n",
            "Epoch: 196/200-Batch\\h: 755/938--D.loss:0.3420,G.loss:1.4753\n",
            "Epoch: 196/200-Batch\\h: 756/938--D.loss:0.4107,G.loss:1.4404\n",
            "Epoch: 196/200-Batch\\h: 757/938--D.loss:0.3413,G.loss:1.6154\n",
            "Epoch: 196/200-Batch\\h: 758/938--D.loss:0.3374,G.loss:2.0810\n",
            "Epoch: 196/200-Batch\\h: 759/938--D.loss:0.3763,G.loss:1.8404\n",
            "Epoch: 196/200-Batch\\h: 760/938--D.loss:0.3645,G.loss:1.5451\n",
            "Epoch: 196/200-Batch\\h: 761/938--D.loss:0.3243,G.loss:1.4850\n",
            "Epoch: 196/200-Batch\\h: 762/938--D.loss:0.3698,G.loss:1.8896\n",
            "Epoch: 196/200-Batch\\h: 763/938--D.loss:0.3322,G.loss:1.6143\n",
            "Epoch: 196/200-Batch\\h: 764/938--D.loss:0.3657,G.loss:1.4147\n",
            "Epoch: 196/200-Batch\\h: 765/938--D.loss:0.4247,G.loss:1.6983\n",
            "Epoch: 196/200-Batch\\h: 766/938--D.loss:0.3050,G.loss:1.7384\n",
            "Epoch: 196/200-Batch\\h: 767/938--D.loss:0.3758,G.loss:1.6868\n",
            "Epoch: 196/200-Batch\\h: 768/938--D.loss:0.3806,G.loss:1.7854\n",
            "Epoch: 196/200-Batch\\h: 769/938--D.loss:0.3397,G.loss:1.6765\n",
            "Epoch: 196/200-Batch\\h: 770/938--D.loss:0.3793,G.loss:1.6247\n",
            "Epoch: 196/200-Batch\\h: 771/938--D.loss:0.3356,G.loss:1.6571\n",
            "Epoch: 196/200-Batch\\h: 772/938--D.loss:0.3486,G.loss:1.7424\n",
            "Epoch: 196/200-Batch\\h: 773/938--D.loss:0.3356,G.loss:1.7045\n",
            "Epoch: 196/200-Batch\\h: 774/938--D.loss:0.3885,G.loss:1.8768\n",
            "Epoch: 196/200-Batch\\h: 775/938--D.loss:0.3420,G.loss:1.6521\n",
            "Epoch: 196/200-Batch\\h: 776/938--D.loss:0.3519,G.loss:1.7472\n",
            "Epoch: 196/200-Batch\\h: 777/938--D.loss:0.4069,G.loss:1.2780\n",
            "Epoch: 196/200-Batch\\h: 778/938--D.loss:0.3052,G.loss:1.9464\n",
            "Epoch: 196/200-Batch\\h: 779/938--D.loss:0.3313,G.loss:1.8075\n",
            "Epoch: 196/200-Batch\\h: 780/938--D.loss:0.3533,G.loss:1.5680\n",
            "Epoch: 196/200-Batch\\h: 781/938--D.loss:0.3687,G.loss:1.3889\n",
            "Epoch: 196/200-Batch\\h: 782/938--D.loss:0.3559,G.loss:1.5314\n",
            "Epoch: 196/200-Batch\\h: 783/938--D.loss:0.3855,G.loss:1.8749\n",
            "Epoch: 196/200-Batch\\h: 784/938--D.loss:0.3872,G.loss:1.7625\n",
            "Epoch: 196/200-Batch\\h: 785/938--D.loss:0.2948,G.loss:1.9681\n",
            "Epoch: 196/200-Batch\\h: 786/938--D.loss:0.3836,G.loss:1.6626\n",
            "Epoch: 196/200-Batch\\h: 787/938--D.loss:0.3968,G.loss:1.4944\n",
            "Epoch: 196/200-Batch\\h: 788/938--D.loss:0.3474,G.loss:1.6162\n",
            "Epoch: 196/200-Batch\\h: 789/938--D.loss:0.3234,G.loss:2.0395\n",
            "Epoch: 196/200-Batch\\h: 790/938--D.loss:0.5224,G.loss:1.4044\n",
            "Epoch: 196/200-Batch\\h: 791/938--D.loss:0.3217,G.loss:1.5330\n",
            "Epoch: 196/200-Batch\\h: 792/938--D.loss:0.2736,G.loss:1.8259\n",
            "Epoch: 196/200-Batch\\h: 793/938--D.loss:0.2993,G.loss:1.8371\n",
            "Epoch: 196/200-Batch\\h: 794/938--D.loss:0.4337,G.loss:1.8538\n",
            "Epoch: 196/200-Batch\\h: 795/938--D.loss:0.2734,G.loss:1.7085\n",
            "Epoch: 196/200-Batch\\h: 796/938--D.loss:0.3642,G.loss:1.5837\n",
            "Epoch: 196/200-Batch\\h: 797/938--D.loss:0.3642,G.loss:1.8303\n",
            "Epoch: 196/200-Batch\\h: 798/938--D.loss:0.3334,G.loss:1.5095\n",
            "Epoch: 196/200-Batch\\h: 799/938--D.loss:0.3928,G.loss:1.5254\n",
            "Epoch: 196/200-Batch\\h: 800/938--D.loss:0.3159,G.loss:1.8469\n",
            "Epoch: 196/200-Batch\\h: 801/938--D.loss:0.4405,G.loss:1.9630\n",
            "Epoch: 196/200-Batch\\h: 802/938--D.loss:0.3592,G.loss:1.5958\n",
            "Epoch: 196/200-Batch\\h: 803/938--D.loss:0.3765,G.loss:1.6026\n",
            "Epoch: 196/200-Batch\\h: 804/938--D.loss:0.3703,G.loss:1.5163\n",
            "Epoch: 196/200-Batch\\h: 805/938--D.loss:0.3918,G.loss:1.7673\n",
            "Epoch: 196/200-Batch\\h: 806/938--D.loss:0.4098,G.loss:1.4466\n",
            "Epoch: 196/200-Batch\\h: 807/938--D.loss:0.3947,G.loss:1.5399\n",
            "Epoch: 196/200-Batch\\h: 808/938--D.loss:0.3341,G.loss:1.6636\n",
            "Epoch: 196/200-Batch\\h: 809/938--D.loss:0.4139,G.loss:1.2820\n",
            "Epoch: 196/200-Batch\\h: 810/938--D.loss:0.3574,G.loss:1.7158\n",
            "Epoch: 196/200-Batch\\h: 811/938--D.loss:0.3759,G.loss:1.9857\n",
            "Epoch: 196/200-Batch\\h: 812/938--D.loss:0.3049,G.loss:1.5075\n",
            "Epoch: 196/200-Batch\\h: 813/938--D.loss:0.3842,G.loss:1.8617\n",
            "Epoch: 196/200-Batch\\h: 814/938--D.loss:0.3861,G.loss:1.8761\n",
            "Epoch: 196/200-Batch\\h: 815/938--D.loss:0.3915,G.loss:1.3481\n",
            "Epoch: 196/200-Batch\\h: 816/938--D.loss:0.3191,G.loss:1.6425\n",
            "Epoch: 196/200-Batch\\h: 817/938--D.loss:0.3753,G.loss:1.8146\n",
            "Epoch: 196/200-Batch\\h: 818/938--D.loss:0.4576,G.loss:1.8719\n",
            "Epoch: 196/200-Batch\\h: 819/938--D.loss:0.3787,G.loss:1.6367\n",
            "Epoch: 196/200-Batch\\h: 820/938--D.loss:0.4029,G.loss:1.5403\n",
            "Epoch: 196/200-Batch\\h: 821/938--D.loss:0.4112,G.loss:1.3310\n",
            "Epoch: 196/200-Batch\\h: 822/938--D.loss:0.2915,G.loss:1.8753\n",
            "Epoch: 196/200-Batch\\h: 823/938--D.loss:0.3293,G.loss:1.5821\n",
            "Epoch: 196/200-Batch\\h: 824/938--D.loss:0.3827,G.loss:1.6048\n",
            "Epoch: 196/200-Batch\\h: 825/938--D.loss:0.3974,G.loss:1.5830\n",
            "Epoch: 196/200-Batch\\h: 826/938--D.loss:0.3713,G.loss:2.1417\n",
            "Epoch: 196/200-Batch\\h: 827/938--D.loss:0.3563,G.loss:1.5759\n",
            "Epoch: 196/200-Batch\\h: 828/938--D.loss:0.3715,G.loss:1.3523\n",
            "Epoch: 196/200-Batch\\h: 829/938--D.loss:0.3270,G.loss:2.1832\n",
            "Epoch: 196/200-Batch\\h: 830/938--D.loss:0.2999,G.loss:1.7843\n",
            "Epoch: 196/200-Batch\\h: 831/938--D.loss:0.4080,G.loss:1.5093\n",
            "Epoch: 196/200-Batch\\h: 832/938--D.loss:0.3508,G.loss:1.6182\n",
            "Epoch: 196/200-Batch\\h: 833/938--D.loss:0.3313,G.loss:1.6261\n",
            "Epoch: 196/200-Batch\\h: 834/938--D.loss:0.3681,G.loss:1.5190\n",
            "Epoch: 196/200-Batch\\h: 835/938--D.loss:0.3857,G.loss:1.8630\n",
            "Epoch: 196/200-Batch\\h: 836/938--D.loss:0.3742,G.loss:1.3437\n",
            "Epoch: 196/200-Batch\\h: 837/938--D.loss:0.3963,G.loss:1.7071\n",
            "Epoch: 196/200-Batch\\h: 838/938--D.loss:0.3306,G.loss:1.6104\n",
            "Epoch: 196/200-Batch\\h: 839/938--D.loss:0.2481,G.loss:1.7225\n",
            "Epoch: 196/200-Batch\\h: 840/938--D.loss:0.3354,G.loss:2.0234\n",
            "Epoch: 196/200-Batch\\h: 841/938--D.loss:0.3899,G.loss:1.6854\n",
            "Epoch: 196/200-Batch\\h: 842/938--D.loss:0.3883,G.loss:1.6782\n",
            "Epoch: 196/200-Batch\\h: 843/938--D.loss:0.3291,G.loss:1.4894\n",
            "Epoch: 196/200-Batch\\h: 844/938--D.loss:0.3513,G.loss:1.9633\n",
            "Epoch: 196/200-Batch\\h: 845/938--D.loss:0.3479,G.loss:1.5911\n",
            "Epoch: 196/200-Batch\\h: 846/938--D.loss:0.4630,G.loss:1.5391\n",
            "Epoch: 196/200-Batch\\h: 847/938--D.loss:0.3710,G.loss:1.3620\n",
            "Epoch: 196/200-Batch\\h: 848/938--D.loss:0.3356,G.loss:1.7238\n",
            "Epoch: 196/200-Batch\\h: 849/938--D.loss:0.3898,G.loss:1.5739\n",
            "Epoch: 196/200-Batch\\h: 850/938--D.loss:0.3965,G.loss:1.5429\n",
            "Epoch: 196/200-Batch\\h: 851/938--D.loss:0.3244,G.loss:1.4210\n",
            "Epoch: 196/200-Batch\\h: 852/938--D.loss:0.3240,G.loss:1.6431\n",
            "Epoch: 196/200-Batch\\h: 853/938--D.loss:0.4029,G.loss:1.8966\n",
            "Epoch: 196/200-Batch\\h: 854/938--D.loss:0.3463,G.loss:1.8929\n",
            "Epoch: 196/200-Batch\\h: 855/938--D.loss:0.3208,G.loss:1.8186\n",
            "Epoch: 196/200-Batch\\h: 856/938--D.loss:0.3851,G.loss:1.5239\n",
            "Epoch: 196/200-Batch\\h: 857/938--D.loss:0.3436,G.loss:1.5856\n",
            "Epoch: 196/200-Batch\\h: 858/938--D.loss:0.3042,G.loss:1.9938\n",
            "Epoch: 196/200-Batch\\h: 859/938--D.loss:0.3643,G.loss:1.9422\n",
            "Epoch: 196/200-Batch\\h: 860/938--D.loss:0.3926,G.loss:1.3119\n",
            "Epoch: 196/200-Batch\\h: 861/938--D.loss:0.3724,G.loss:1.4753\n",
            "Epoch: 196/200-Batch\\h: 862/938--D.loss:0.2742,G.loss:1.9388\n",
            "Epoch: 196/200-Batch\\h: 863/938--D.loss:0.3025,G.loss:1.8292\n",
            "Epoch: 196/200-Batch\\h: 864/938--D.loss:0.3182,G.loss:1.7901\n",
            "Epoch: 196/200-Batch\\h: 865/938--D.loss:0.3648,G.loss:1.5844\n",
            "Epoch: 196/200-Batch\\h: 866/938--D.loss:0.3219,G.loss:1.7691\n",
            "Epoch: 196/200-Batch\\h: 867/938--D.loss:0.2519,G.loss:2.1053\n",
            "Epoch: 196/200-Batch\\h: 868/938--D.loss:0.3343,G.loss:1.9477\n",
            "Epoch: 196/200-Batch\\h: 869/938--D.loss:0.3674,G.loss:1.8887\n",
            "Epoch: 196/200-Batch\\h: 870/938--D.loss:0.4337,G.loss:1.3771\n",
            "Epoch: 196/200-Batch\\h: 871/938--D.loss:0.3564,G.loss:1.4916\n",
            "Epoch: 196/200-Batch\\h: 872/938--D.loss:0.3246,G.loss:1.7050\n",
            "Epoch: 196/200-Batch\\h: 873/938--D.loss:0.4194,G.loss:1.7950\n",
            "Epoch: 196/200-Batch\\h: 874/938--D.loss:0.4170,G.loss:1.6043\n",
            "Epoch: 196/200-Batch\\h: 875/938--D.loss:0.3409,G.loss:1.4779\n",
            "Epoch: 196/200-Batch\\h: 876/938--D.loss:0.4367,G.loss:1.7512\n",
            "Epoch: 196/200-Batch\\h: 877/938--D.loss:0.2842,G.loss:1.6158\n",
            "Epoch: 196/200-Batch\\h: 878/938--D.loss:0.3813,G.loss:1.5053\n",
            "Epoch: 196/200-Batch\\h: 879/938--D.loss:0.2865,G.loss:2.1382\n",
            "Epoch: 196/200-Batch\\h: 880/938--D.loss:0.3611,G.loss:1.9480\n",
            "Epoch: 196/200-Batch\\h: 881/938--D.loss:0.4363,G.loss:1.4605\n",
            "Epoch: 196/200-Batch\\h: 882/938--D.loss:0.4383,G.loss:1.3756\n",
            "Epoch: 196/200-Batch\\h: 883/938--D.loss:0.4019,G.loss:1.4529\n",
            "Epoch: 196/200-Batch\\h: 884/938--D.loss:0.4025,G.loss:1.8041\n",
            "Epoch: 196/200-Batch\\h: 885/938--D.loss:0.3434,G.loss:1.5155\n",
            "Epoch: 196/200-Batch\\h: 886/938--D.loss:0.2094,G.loss:1.5983\n",
            "Epoch: 196/200-Batch\\h: 887/938--D.loss:0.3214,G.loss:1.8925\n",
            "Epoch: 196/200-Batch\\h: 888/938--D.loss:0.3345,G.loss:2.1353\n",
            "Epoch: 196/200-Batch\\h: 889/938--D.loss:0.2942,G.loss:1.6110\n",
            "Epoch: 196/200-Batch\\h: 890/938--D.loss:0.4572,G.loss:1.5992\n",
            "Epoch: 196/200-Batch\\h: 891/938--D.loss:0.4074,G.loss:1.4331\n",
            "Epoch: 196/200-Batch\\h: 892/938--D.loss:0.4106,G.loss:1.9902\n",
            "Epoch: 196/200-Batch\\h: 893/938--D.loss:0.3107,G.loss:1.7587\n",
            "Epoch: 196/200-Batch\\h: 894/938--D.loss:0.3948,G.loss:1.4666\n",
            "Epoch: 196/200-Batch\\h: 895/938--D.loss:0.2502,G.loss:1.6483\n",
            "Epoch: 196/200-Batch\\h: 896/938--D.loss:0.3392,G.loss:1.7176\n",
            "Epoch: 196/200-Batch\\h: 897/938--D.loss:0.3133,G.loss:1.8517\n",
            "Epoch: 196/200-Batch\\h: 898/938--D.loss:0.3906,G.loss:1.5774\n",
            "Epoch: 196/200-Batch\\h: 899/938--D.loss:0.4149,G.loss:1.3389\n",
            "Epoch: 196/200-Batch\\h: 900/938--D.loss:0.3128,G.loss:1.9135\n",
            "Epoch: 196/200-Batch\\h: 901/938--D.loss:0.4162,G.loss:1.7943\n",
            "Epoch: 196/200-Batch\\h: 902/938--D.loss:0.3333,G.loss:1.4324\n",
            "Epoch: 196/200-Batch\\h: 903/938--D.loss:0.4187,G.loss:1.7223\n",
            "Epoch: 196/200-Batch\\h: 904/938--D.loss:0.4005,G.loss:1.5935\n",
            "Epoch: 196/200-Batch\\h: 905/938--D.loss:0.3850,G.loss:1.6785\n",
            "Epoch: 196/200-Batch\\h: 906/938--D.loss:0.3547,G.loss:1.5702\n",
            "Epoch: 196/200-Batch\\h: 907/938--D.loss:0.3073,G.loss:1.5179\n",
            "Epoch: 196/200-Batch\\h: 908/938--D.loss:0.3199,G.loss:1.5243\n",
            "Epoch: 196/200-Batch\\h: 909/938--D.loss:0.4350,G.loss:1.9053\n",
            "Epoch: 196/200-Batch\\h: 910/938--D.loss:0.3530,G.loss:1.3691\n",
            "Epoch: 196/200-Batch\\h: 911/938--D.loss:0.3347,G.loss:1.4629\n",
            "Epoch: 196/200-Batch\\h: 912/938--D.loss:0.4661,G.loss:1.8232\n",
            "Epoch: 196/200-Batch\\h: 913/938--D.loss:0.3757,G.loss:1.6034\n",
            "Epoch: 196/200-Batch\\h: 914/938--D.loss:0.3487,G.loss:1.5253\n",
            "Epoch: 196/200-Batch\\h: 915/938--D.loss:0.4155,G.loss:1.7069\n",
            "Epoch: 196/200-Batch\\h: 916/938--D.loss:0.3189,G.loss:1.6798\n",
            "Epoch: 196/200-Batch\\h: 917/938--D.loss:0.3204,G.loss:1.7589\n",
            "Epoch: 196/200-Batch\\h: 918/938--D.loss:0.3649,G.loss:1.7084\n",
            "Epoch: 196/200-Batch\\h: 919/938--D.loss:0.3137,G.loss:1.9848\n",
            "Epoch: 196/200-Batch\\h: 920/938--D.loss:0.3988,G.loss:1.7615\n",
            "Epoch: 196/200-Batch\\h: 921/938--D.loss:0.3715,G.loss:1.4825\n",
            "Epoch: 196/200-Batch\\h: 922/938--D.loss:0.3698,G.loss:1.4541\n",
            "Epoch: 196/200-Batch\\h: 923/938--D.loss:0.3957,G.loss:1.6242\n",
            "Epoch: 196/200-Batch\\h: 924/938--D.loss:0.3651,G.loss:1.7660\n",
            "Epoch: 196/200-Batch\\h: 925/938--D.loss:0.3726,G.loss:1.5004\n",
            "Epoch: 196/200-Batch\\h: 926/938--D.loss:0.4292,G.loss:1.6959\n",
            "Epoch: 196/200-Batch\\h: 927/938--D.loss:0.3314,G.loss:1.9108\n",
            "Epoch: 196/200-Batch\\h: 928/938--D.loss:0.3390,G.loss:1.6456\n",
            "Epoch: 196/200-Batch\\h: 929/938--D.loss:0.3420,G.loss:1.7429\n",
            "Epoch: 196/200-Batch\\h: 930/938--D.loss:0.3091,G.loss:1.5673\n",
            "Epoch: 196/200-Batch\\h: 931/938--D.loss:0.4356,G.loss:1.8129\n",
            "Epoch: 196/200-Batch\\h: 932/938--D.loss:0.3229,G.loss:1.6610\n",
            "Epoch: 196/200-Batch\\h: 933/938--D.loss:0.3558,G.loss:1.4835\n",
            "Epoch: 196/200-Batch\\h: 934/938--D.loss:0.2826,G.loss:1.9143\n",
            "Epoch: 196/200-Batch\\h: 935/938--D.loss:0.3024,G.loss:1.7346\n",
            "Epoch: 196/200-Batch\\h: 936/938--D.loss:0.3134,G.loss:1.8932\n",
            "Epoch: 196/200-Batch\\h: 937/938--D.loss:0.4201,G.loss:2.0594\n",
            "Epoch: 197/200-Batch\\h: 0/938--D.loss:0.3563,G.loss:1.5975\n",
            "Epoch: 197/200-Batch\\h: 1/938--D.loss:0.3638,G.loss:1.7107\n",
            "Epoch: 197/200-Batch\\h: 2/938--D.loss:0.2952,G.loss:1.9210\n",
            "Epoch: 197/200-Batch\\h: 3/938--D.loss:0.3504,G.loss:1.8286\n",
            "Epoch: 197/200-Batch\\h: 4/938--D.loss:0.3242,G.loss:1.4981\n",
            "Epoch: 197/200-Batch\\h: 5/938--D.loss:0.3322,G.loss:1.8970\n",
            "Epoch: 197/200-Batch\\h: 6/938--D.loss:0.3669,G.loss:1.8555\n",
            "Epoch: 197/200-Batch\\h: 7/938--D.loss:0.3600,G.loss:1.4783\n",
            "Epoch: 197/200-Batch\\h: 8/938--D.loss:0.3233,G.loss:1.5585\n",
            "Epoch: 197/200-Batch\\h: 9/938--D.loss:0.3169,G.loss:2.1504\n",
            "Epoch: 197/200-Batch\\h: 10/938--D.loss:0.4416,G.loss:2.0641\n",
            "Epoch: 197/200-Batch\\h: 11/938--D.loss:0.4084,G.loss:1.2729\n",
            "Epoch: 197/200-Batch\\h: 12/938--D.loss:0.3279,G.loss:1.6624\n",
            "Epoch: 197/200-Batch\\h: 13/938--D.loss:0.3583,G.loss:1.9354\n",
            "Epoch: 197/200-Batch\\h: 14/938--D.loss:0.3242,G.loss:1.6624\n",
            "Epoch: 197/200-Batch\\h: 15/938--D.loss:0.3606,G.loss:1.5640\n",
            "Epoch: 197/200-Batch\\h: 16/938--D.loss:0.3310,G.loss:1.8244\n",
            "Epoch: 197/200-Batch\\h: 17/938--D.loss:0.3725,G.loss:1.6469\n",
            "Epoch: 197/200-Batch\\h: 18/938--D.loss:0.3177,G.loss:1.6275\n",
            "Epoch: 197/200-Batch\\h: 19/938--D.loss:0.3271,G.loss:1.9892\n",
            "Epoch: 197/200-Batch\\h: 20/938--D.loss:0.3993,G.loss:1.6104\n",
            "Epoch: 197/200-Batch\\h: 21/938--D.loss:0.5075,G.loss:1.4332\n",
            "Epoch: 197/200-Batch\\h: 22/938--D.loss:0.2785,G.loss:1.3695\n",
            "Epoch: 197/200-Batch\\h: 23/938--D.loss:0.3479,G.loss:2.4367\n",
            "Epoch: 197/200-Batch\\h: 24/938--D.loss:0.3264,G.loss:2.0255\n",
            "Epoch: 197/200-Batch\\h: 25/938--D.loss:0.3250,G.loss:1.3677\n",
            "Epoch: 197/200-Batch\\h: 26/938--D.loss:0.3657,G.loss:1.5860\n",
            "Epoch: 197/200-Batch\\h: 27/938--D.loss:0.3730,G.loss:1.9054\n",
            "Epoch: 197/200-Batch\\h: 28/938--D.loss:0.3246,G.loss:1.9111\n",
            "Epoch: 197/200-Batch\\h: 29/938--D.loss:0.3744,G.loss:1.7157\n",
            "Epoch: 197/200-Batch\\h: 30/938--D.loss:0.3114,G.loss:1.4343\n",
            "Epoch: 197/200-Batch\\h: 31/938--D.loss:0.3545,G.loss:1.4845\n",
            "Epoch: 197/200-Batch\\h: 32/938--D.loss:0.3760,G.loss:2.1506\n",
            "Epoch: 197/200-Batch\\h: 33/938--D.loss:0.4252,G.loss:2.0083\n",
            "Epoch: 197/200-Batch\\h: 34/938--D.loss:0.2950,G.loss:1.6917\n",
            "Epoch: 197/200-Batch\\h: 35/938--D.loss:0.3249,G.loss:1.7537\n",
            "Epoch: 197/200-Batch\\h: 36/938--D.loss:0.3448,G.loss:1.3468\n",
            "Epoch: 197/200-Batch\\h: 37/938--D.loss:0.3587,G.loss:1.5287\n",
            "Epoch: 197/200-Batch\\h: 38/938--D.loss:0.4238,G.loss:1.9097\n",
            "Epoch: 197/200-Batch\\h: 39/938--D.loss:0.3498,G.loss:1.5966\n",
            "Epoch: 197/200-Batch\\h: 40/938--D.loss:0.3431,G.loss:1.6809\n",
            "Epoch: 197/200-Batch\\h: 41/938--D.loss:0.4183,G.loss:1.3308\n",
            "Epoch: 197/200-Batch\\h: 42/938--D.loss:0.3633,G.loss:1.6498\n",
            "Epoch: 197/200-Batch\\h: 43/938--D.loss:0.3230,G.loss:1.7072\n",
            "Epoch: 197/200-Batch\\h: 44/938--D.loss:0.3300,G.loss:1.7385\n",
            "Epoch: 197/200-Batch\\h: 45/938--D.loss:0.2869,G.loss:1.4926\n",
            "Epoch: 197/200-Batch\\h: 46/938--D.loss:0.4040,G.loss:1.8322\n",
            "Epoch: 197/200-Batch\\h: 47/938--D.loss:0.3840,G.loss:1.6536\n",
            "Epoch: 197/200-Batch\\h: 48/938--D.loss:0.4271,G.loss:1.6423\n",
            "Epoch: 197/200-Batch\\h: 49/938--D.loss:0.3763,G.loss:1.2451\n",
            "Epoch: 197/200-Batch\\h: 50/938--D.loss:0.3335,G.loss:1.6630\n",
            "Epoch: 197/200-Batch\\h: 51/938--D.loss:0.3658,G.loss:1.8782\n",
            "Epoch: 197/200-Batch\\h: 52/938--D.loss:0.3245,G.loss:1.4202\n",
            "Epoch: 197/200-Batch\\h: 53/938--D.loss:0.4205,G.loss:1.3272\n",
            "Epoch: 197/200-Batch\\h: 54/938--D.loss:0.2941,G.loss:1.9916\n",
            "Epoch: 197/200-Batch\\h: 55/938--D.loss:0.3081,G.loss:1.7978\n",
            "Epoch: 197/200-Batch\\h: 56/938--D.loss:0.3321,G.loss:1.7641\n",
            "Epoch: 197/200-Batch\\h: 57/938--D.loss:0.4372,G.loss:1.6248\n",
            "Epoch: 197/200-Batch\\h: 58/938--D.loss:0.4244,G.loss:1.3171\n",
            "Epoch: 197/200-Batch\\h: 59/938--D.loss:0.3133,G.loss:1.7677\n",
            "Epoch: 197/200-Batch\\h: 60/938--D.loss:0.3585,G.loss:1.6446\n",
            "Epoch: 197/200-Batch\\h: 61/938--D.loss:0.3344,G.loss:2.0255\n",
            "Epoch: 197/200-Batch\\h: 62/938--D.loss:0.3481,G.loss:1.6834\n",
            "Epoch: 197/200-Batch\\h: 63/938--D.loss:0.3085,G.loss:1.6065\n",
            "Epoch: 197/200-Batch\\h: 64/938--D.loss:0.3363,G.loss:2.0949\n",
            "Epoch: 197/200-Batch\\h: 65/938--D.loss:0.3220,G.loss:1.8496\n",
            "Epoch: 197/200-Batch\\h: 66/938--D.loss:0.3016,G.loss:1.5749\n",
            "Epoch: 197/200-Batch\\h: 67/938--D.loss:0.3335,G.loss:1.9764\n",
            "Epoch: 197/200-Batch\\h: 68/938--D.loss:0.4369,G.loss:1.8638\n",
            "Epoch: 197/200-Batch\\h: 69/938--D.loss:0.3758,G.loss:1.2925\n",
            "Epoch: 197/200-Batch\\h: 70/938--D.loss:0.3859,G.loss:1.6473\n",
            "Epoch: 197/200-Batch\\h: 71/938--D.loss:0.4908,G.loss:1.6415\n",
            "Epoch: 197/200-Batch\\h: 72/938--D.loss:0.4005,G.loss:1.2754\n",
            "Epoch: 197/200-Batch\\h: 73/938--D.loss:0.3815,G.loss:1.7453\n",
            "Epoch: 197/200-Batch\\h: 74/938--D.loss:0.3699,G.loss:1.6914\n",
            "Epoch: 197/200-Batch\\h: 75/938--D.loss:0.3688,G.loss:1.4555\n",
            "Epoch: 197/200-Batch\\h: 76/938--D.loss:0.3505,G.loss:1.4904\n",
            "Epoch: 197/200-Batch\\h: 77/938--D.loss:0.3419,G.loss:1.9140\n",
            "Epoch: 197/200-Batch\\h: 78/938--D.loss:0.2926,G.loss:1.9139\n",
            "Epoch: 197/200-Batch\\h: 79/938--D.loss:0.2958,G.loss:1.5390\n",
            "Epoch: 197/200-Batch\\h: 80/938--D.loss:0.3955,G.loss:1.8119\n",
            "Epoch: 197/200-Batch\\h: 81/938--D.loss:0.3175,G.loss:1.5768\n",
            "Epoch: 197/200-Batch\\h: 82/938--D.loss:0.4366,G.loss:1.2920\n",
            "Epoch: 197/200-Batch\\h: 83/938--D.loss:0.3714,G.loss:1.8059\n",
            "Epoch: 197/200-Batch\\h: 84/938--D.loss:0.4292,G.loss:1.9155\n",
            "Epoch: 197/200-Batch\\h: 85/938--D.loss:0.3905,G.loss:1.5301\n",
            "Epoch: 197/200-Batch\\h: 86/938--D.loss:0.3087,G.loss:1.2995\n",
            "Epoch: 197/200-Batch\\h: 87/938--D.loss:0.4125,G.loss:1.3682\n",
            "Epoch: 197/200-Batch\\h: 88/938--D.loss:0.3672,G.loss:1.9030\n",
            "Epoch: 197/200-Batch\\h: 89/938--D.loss:0.3441,G.loss:1.9691\n",
            "Epoch: 197/200-Batch\\h: 90/938--D.loss:0.3572,G.loss:1.6566\n",
            "Epoch: 197/200-Batch\\h: 91/938--D.loss:0.3364,G.loss:1.9522\n",
            "Epoch: 197/200-Batch\\h: 92/938--D.loss:0.2900,G.loss:1.6610\n",
            "Epoch: 197/200-Batch\\h: 93/938--D.loss:0.4141,G.loss:1.8668\n",
            "Epoch: 197/200-Batch\\h: 94/938--D.loss:0.3664,G.loss:1.6711\n",
            "Epoch: 197/200-Batch\\h: 95/938--D.loss:0.2951,G.loss:1.5669\n",
            "Epoch: 197/200-Batch\\h: 96/938--D.loss:0.3210,G.loss:1.8524\n",
            "Epoch: 197/200-Batch\\h: 97/938--D.loss:0.3163,G.loss:1.8860\n",
            "Epoch: 197/200-Batch\\h: 98/938--D.loss:0.3736,G.loss:1.9536\n",
            "Epoch: 197/200-Batch\\h: 99/938--D.loss:0.3902,G.loss:1.8849\n",
            "Epoch: 197/200-Batch\\h: 100/938--D.loss:0.3591,G.loss:1.1866\n",
            "Epoch: 197/200-Batch\\h: 101/938--D.loss:0.3754,G.loss:1.6907\n",
            "Epoch: 197/200-Batch\\h: 102/938--D.loss:0.3469,G.loss:2.0293\n",
            "Epoch: 197/200-Batch\\h: 103/938--D.loss:0.3955,G.loss:1.2929\n",
            "Epoch: 197/200-Batch\\h: 104/938--D.loss:0.3522,G.loss:1.6276\n",
            "Epoch: 197/200-Batch\\h: 105/938--D.loss:0.3618,G.loss:1.8919\n",
            "Epoch: 197/200-Batch\\h: 106/938--D.loss:0.3491,G.loss:1.8586\n",
            "Epoch: 197/200-Batch\\h: 107/938--D.loss:0.3652,G.loss:1.6104\n",
            "Epoch: 197/200-Batch\\h: 108/938--D.loss:0.3917,G.loss:1.3832\n",
            "Epoch: 197/200-Batch\\h: 109/938--D.loss:0.4172,G.loss:2.1009\n",
            "Epoch: 197/200-Batch\\h: 110/938--D.loss:0.3614,G.loss:1.3654\n",
            "Epoch: 197/200-Batch\\h: 111/938--D.loss:0.4207,G.loss:1.6626\n",
            "Epoch: 197/200-Batch\\h: 112/938--D.loss:0.3541,G.loss:1.6275\n",
            "Epoch: 197/200-Batch\\h: 113/938--D.loss:0.3723,G.loss:1.5769\n",
            "Epoch: 197/200-Batch\\h: 114/938--D.loss:0.3813,G.loss:1.5280\n",
            "Epoch: 197/200-Batch\\h: 115/938--D.loss:0.3311,G.loss:1.5949\n",
            "Epoch: 197/200-Batch\\h: 116/938--D.loss:0.3490,G.loss:2.1471\n",
            "Epoch: 197/200-Batch\\h: 117/938--D.loss:0.4950,G.loss:1.4316\n",
            "Epoch: 197/200-Batch\\h: 118/938--D.loss:0.4227,G.loss:1.2220\n",
            "Epoch: 197/200-Batch\\h: 119/938--D.loss:0.3556,G.loss:1.7834\n",
            "Epoch: 197/200-Batch\\h: 120/938--D.loss:0.2958,G.loss:1.6409\n",
            "Epoch: 197/200-Batch\\h: 121/938--D.loss:0.3365,G.loss:1.8741\n",
            "Epoch: 197/200-Batch\\h: 122/938--D.loss:0.4008,G.loss:1.5930\n",
            "Epoch: 197/200-Batch\\h: 123/938--D.loss:0.3827,G.loss:1.5330\n",
            "Epoch: 197/200-Batch\\h: 124/938--D.loss:0.3449,G.loss:1.3602\n",
            "Epoch: 197/200-Batch\\h: 125/938--D.loss:0.3779,G.loss:1.6760\n",
            "Epoch: 197/200-Batch\\h: 126/938--D.loss:0.3554,G.loss:1.9708\n",
            "Epoch: 197/200-Batch\\h: 127/938--D.loss:0.3362,G.loss:1.7289\n",
            "Epoch: 197/200-Batch\\h: 128/938--D.loss:0.3282,G.loss:1.5960\n",
            "Epoch: 197/200-Batch\\h: 129/938--D.loss:0.3244,G.loss:1.5257\n",
            "Epoch: 197/200-Batch\\h: 130/938--D.loss:0.4028,G.loss:1.8930\n",
            "Epoch: 197/200-Batch\\h: 131/938--D.loss:0.3673,G.loss:1.6000\n",
            "Epoch: 197/200-Batch\\h: 132/938--D.loss:0.3541,G.loss:1.4588\n",
            "Epoch: 197/200-Batch\\h: 133/938--D.loss:0.4004,G.loss:2.0933\n",
            "Epoch: 197/200-Batch\\h: 134/938--D.loss:0.2946,G.loss:1.7636\n",
            "Epoch: 197/200-Batch\\h: 135/938--D.loss:0.3699,G.loss:1.8901\n",
            "Epoch: 197/200-Batch\\h: 136/938--D.loss:0.3142,G.loss:1.7049\n",
            "Epoch: 197/200-Batch\\h: 137/938--D.loss:0.2900,G.loss:1.6006\n",
            "Epoch: 197/200-Batch\\h: 138/938--D.loss:0.3545,G.loss:1.8400\n",
            "Epoch: 197/200-Batch\\h: 139/938--D.loss:0.2707,G.loss:1.6182\n",
            "Epoch: 197/200-Batch\\h: 140/938--D.loss:0.3335,G.loss:1.8602\n",
            "Epoch: 197/200-Batch\\h: 141/938--D.loss:0.3729,G.loss:1.9397\n",
            "Epoch: 197/200-Batch\\h: 142/938--D.loss:0.3661,G.loss:1.6934\n",
            "Epoch: 197/200-Batch\\h: 143/938--D.loss:0.3928,G.loss:1.6939\n",
            "Epoch: 197/200-Batch\\h: 144/938--D.loss:0.3027,G.loss:1.8419\n",
            "Epoch: 197/200-Batch\\h: 145/938--D.loss:0.3967,G.loss:1.8718\n",
            "Epoch: 197/200-Batch\\h: 146/938--D.loss:0.3572,G.loss:1.2909\n",
            "Epoch: 197/200-Batch\\h: 147/938--D.loss:0.4429,G.loss:1.2875\n",
            "Epoch: 197/200-Batch\\h: 148/938--D.loss:0.3065,G.loss:2.0406\n",
            "Epoch: 197/200-Batch\\h: 149/938--D.loss:0.3863,G.loss:1.8714\n",
            "Epoch: 197/200-Batch\\h: 150/938--D.loss:0.3577,G.loss:1.4601\n",
            "Epoch: 197/200-Batch\\h: 151/938--D.loss:0.3546,G.loss:1.7862\n",
            "Epoch: 197/200-Batch\\h: 152/938--D.loss:0.3543,G.loss:1.6072\n",
            "Epoch: 197/200-Batch\\h: 153/938--D.loss:0.2763,G.loss:1.9020\n",
            "Epoch: 197/200-Batch\\h: 154/938--D.loss:0.3412,G.loss:1.7675\n",
            "Epoch: 197/200-Batch\\h: 155/938--D.loss:0.3755,G.loss:1.9000\n",
            "Epoch: 197/200-Batch\\h: 156/938--D.loss:0.4405,G.loss:1.5350\n",
            "Epoch: 197/200-Batch\\h: 157/938--D.loss:0.3075,G.loss:1.5335\n",
            "Epoch: 197/200-Batch\\h: 158/938--D.loss:0.3094,G.loss:1.8225\n",
            "Epoch: 197/200-Batch\\h: 159/938--D.loss:0.3966,G.loss:2.1939\n",
            "Epoch: 197/200-Batch\\h: 160/938--D.loss:0.3502,G.loss:1.5856\n",
            "Epoch: 197/200-Batch\\h: 161/938--D.loss:0.3562,G.loss:1.2851\n",
            "Epoch: 197/200-Batch\\h: 162/938--D.loss:0.3662,G.loss:1.9700\n",
            "Epoch: 197/200-Batch\\h: 163/938--D.loss:0.5150,G.loss:1.7415\n",
            "Epoch: 197/200-Batch\\h: 164/938--D.loss:0.4452,G.loss:1.3436\n",
            "Epoch: 197/200-Batch\\h: 165/938--D.loss:0.3827,G.loss:1.4377\n",
            "Epoch: 197/200-Batch\\h: 166/938--D.loss:0.4308,G.loss:1.8549\n",
            "Epoch: 197/200-Batch\\h: 167/938--D.loss:0.2885,G.loss:1.9190\n",
            "Epoch: 197/200-Batch\\h: 168/938--D.loss:0.2571,G.loss:1.6264\n",
            "Epoch: 197/200-Batch\\h: 169/938--D.loss:0.4262,G.loss:1.4889\n",
            "Epoch: 197/200-Batch\\h: 170/938--D.loss:0.3128,G.loss:1.5064\n",
            "Epoch: 197/200-Batch\\h: 171/938--D.loss:0.3750,G.loss:1.7271\n",
            "Epoch: 197/200-Batch\\h: 172/938--D.loss:0.3640,G.loss:1.8118\n",
            "Epoch: 197/200-Batch\\h: 173/938--D.loss:0.3027,G.loss:1.8364\n",
            "Epoch: 197/200-Batch\\h: 174/938--D.loss:0.3947,G.loss:1.7515\n",
            "Epoch: 197/200-Batch\\h: 175/938--D.loss:0.2960,G.loss:1.5463\n",
            "Epoch: 197/200-Batch\\h: 176/938--D.loss:0.4543,G.loss:1.7299\n",
            "Epoch: 197/200-Batch\\h: 177/938--D.loss:0.3649,G.loss:1.6201\n",
            "Epoch: 197/200-Batch\\h: 178/938--D.loss:0.3498,G.loss:1.5075\n",
            "Epoch: 197/200-Batch\\h: 179/938--D.loss:0.3744,G.loss:1.7921\n",
            "Epoch: 197/200-Batch\\h: 180/938--D.loss:0.3788,G.loss:1.6841\n",
            "Epoch: 197/200-Batch\\h: 181/938--D.loss:0.3684,G.loss:1.4371\n",
            "Epoch: 197/200-Batch\\h: 182/938--D.loss:0.3003,G.loss:1.7359\n",
            "Epoch: 197/200-Batch\\h: 183/938--D.loss:0.4244,G.loss:1.8045\n",
            "Epoch: 197/200-Batch\\h: 184/938--D.loss:0.3638,G.loss:1.5604\n",
            "Epoch: 197/200-Batch\\h: 185/938--D.loss:0.3018,G.loss:1.7325\n",
            "Epoch: 197/200-Batch\\h: 186/938--D.loss:0.3832,G.loss:1.7026\n",
            "Epoch: 197/200-Batch\\h: 187/938--D.loss:0.3146,G.loss:1.4495\n",
            "Epoch: 197/200-Batch\\h: 188/938--D.loss:0.3084,G.loss:1.8549\n",
            "Epoch: 197/200-Batch\\h: 189/938--D.loss:0.3711,G.loss:1.7018\n",
            "Epoch: 197/200-Batch\\h: 190/938--D.loss:0.2747,G.loss:1.7118\n",
            "Epoch: 197/200-Batch\\h: 191/938--D.loss:0.3838,G.loss:1.9732\n",
            "Epoch: 197/200-Batch\\h: 192/938--D.loss:0.3175,G.loss:1.9987\n",
            "Epoch: 197/200-Batch\\h: 193/938--D.loss:0.3557,G.loss:1.6355\n",
            "Epoch: 197/200-Batch\\h: 194/938--D.loss:0.3452,G.loss:1.7906\n",
            "Epoch: 197/200-Batch\\h: 195/938--D.loss:0.3550,G.loss:1.6826\n",
            "Epoch: 197/200-Batch\\h: 196/938--D.loss:0.3524,G.loss:1.1650\n",
            "Epoch: 197/200-Batch\\h: 197/938--D.loss:0.3358,G.loss:1.8892\n",
            "Epoch: 197/200-Batch\\h: 198/938--D.loss:0.3396,G.loss:1.7931\n",
            "Epoch: 197/200-Batch\\h: 199/938--D.loss:0.3619,G.loss:1.6800\n",
            "Epoch: 197/200-Batch\\h: 200/938--D.loss:0.3163,G.loss:1.6024\n",
            "Epoch: 197/200-Batch\\h: 201/938--D.loss:0.3602,G.loss:2.1956\n",
            "Epoch: 197/200-Batch\\h: 202/938--D.loss:0.3235,G.loss:2.0170\n",
            "Epoch: 197/200-Batch\\h: 203/938--D.loss:0.3982,G.loss:1.5259\n",
            "Epoch: 197/200-Batch\\h: 204/938--D.loss:0.3251,G.loss:1.9156\n",
            "Epoch: 197/200-Batch\\h: 205/938--D.loss:0.3741,G.loss:1.8169\n",
            "Epoch: 197/200-Batch\\h: 206/938--D.loss:0.3239,G.loss:1.5774\n",
            "Epoch: 197/200-Batch\\h: 207/938--D.loss:0.3160,G.loss:1.6299\n",
            "Epoch: 197/200-Batch\\h: 208/938--D.loss:0.3037,G.loss:1.7159\n",
            "Epoch: 197/200-Batch\\h: 209/938--D.loss:0.3304,G.loss:1.8381\n",
            "Epoch: 197/200-Batch\\h: 210/938--D.loss:0.4505,G.loss:1.7812\n",
            "Epoch: 197/200-Batch\\h: 211/938--D.loss:0.3762,G.loss:1.6500\n",
            "Epoch: 197/200-Batch\\h: 212/938--D.loss:0.3136,G.loss:1.5979\n",
            "Epoch: 197/200-Batch\\h: 213/938--D.loss:0.3900,G.loss:1.8002\n",
            "Epoch: 197/200-Batch\\h: 214/938--D.loss:0.4837,G.loss:1.6573\n",
            "Epoch: 197/200-Batch\\h: 215/938--D.loss:0.3586,G.loss:1.4797\n",
            "Epoch: 197/200-Batch\\h: 216/938--D.loss:0.3597,G.loss:1.7596\n",
            "Epoch: 197/200-Batch\\h: 217/938--D.loss:0.3810,G.loss:1.4889\n",
            "Epoch: 197/200-Batch\\h: 218/938--D.loss:0.3613,G.loss:1.5619\n",
            "Epoch: 197/200-Batch\\h: 219/938--D.loss:0.4276,G.loss:1.7508\n",
            "Epoch: 197/200-Batch\\h: 220/938--D.loss:0.4031,G.loss:1.4947\n",
            "Epoch: 197/200-Batch\\h: 221/938--D.loss:0.3541,G.loss:1.6390\n",
            "Epoch: 197/200-Batch\\h: 222/938--D.loss:0.3424,G.loss:1.3514\n",
            "Epoch: 197/200-Batch\\h: 223/938--D.loss:0.3477,G.loss:1.7651\n",
            "Epoch: 197/200-Batch\\h: 224/938--D.loss:0.3644,G.loss:1.9594\n",
            "Epoch: 197/200-Batch\\h: 225/938--D.loss:0.3543,G.loss:1.5977\n",
            "Epoch: 197/200-Batch\\h: 226/938--D.loss:0.3886,G.loss:1.8145\n",
            "Epoch: 197/200-Batch\\h: 227/938--D.loss:0.3524,G.loss:1.4685\n",
            "Epoch: 197/200-Batch\\h: 228/938--D.loss:0.2842,G.loss:1.9739\n",
            "Epoch: 197/200-Batch\\h: 229/938--D.loss:0.3738,G.loss:1.9320\n",
            "Epoch: 197/200-Batch\\h: 230/938--D.loss:0.3720,G.loss:1.4252\n",
            "Epoch: 197/200-Batch\\h: 231/938--D.loss:0.4092,G.loss:1.5826\n",
            "Epoch: 197/200-Batch\\h: 232/938--D.loss:0.3759,G.loss:1.7751\n",
            "Epoch: 197/200-Batch\\h: 233/938--D.loss:0.3768,G.loss:1.5441\n",
            "Epoch: 197/200-Batch\\h: 234/938--D.loss:0.3601,G.loss:1.6590\n",
            "Epoch: 197/200-Batch\\h: 235/938--D.loss:0.3252,G.loss:1.5513\n",
            "Epoch: 197/200-Batch\\h: 236/938--D.loss:0.3292,G.loss:1.7082\n",
            "Epoch: 197/200-Batch\\h: 237/938--D.loss:0.3374,G.loss:1.5778\n",
            "Epoch: 197/200-Batch\\h: 238/938--D.loss:0.4565,G.loss:1.6363\n",
            "Epoch: 197/200-Batch\\h: 239/938--D.loss:0.3576,G.loss:1.4282\n",
            "Epoch: 197/200-Batch\\h: 240/938--D.loss:0.4194,G.loss:1.8745\n",
            "Epoch: 197/200-Batch\\h: 241/938--D.loss:0.3185,G.loss:1.9278\n",
            "Epoch: 197/200-Batch\\h: 242/938--D.loss:0.3848,G.loss:1.8588\n",
            "Epoch: 197/200-Batch\\h: 243/938--D.loss:0.2973,G.loss:1.7775\n",
            "Epoch: 197/200-Batch\\h: 244/938--D.loss:0.3067,G.loss:1.6221\n",
            "Epoch: 197/200-Batch\\h: 245/938--D.loss:0.4395,G.loss:1.6964\n",
            "Epoch: 197/200-Batch\\h: 246/938--D.loss:0.3515,G.loss:1.6185\n",
            "Epoch: 197/200-Batch\\h: 247/938--D.loss:0.3676,G.loss:1.5300\n",
            "Epoch: 197/200-Batch\\h: 248/938--D.loss:0.3607,G.loss:1.7708\n",
            "Epoch: 197/200-Batch\\h: 249/938--D.loss:0.3423,G.loss:1.6638\n",
            "Epoch: 197/200-Batch\\h: 250/938--D.loss:0.3314,G.loss:1.9209\n",
            "Epoch: 197/200-Batch\\h: 251/938--D.loss:0.3589,G.loss:1.5563\n",
            "Epoch: 197/200-Batch\\h: 252/938--D.loss:0.3436,G.loss:1.7783\n",
            "Epoch: 197/200-Batch\\h: 253/938--D.loss:0.3180,G.loss:1.8974\n",
            "Epoch: 197/200-Batch\\h: 254/938--D.loss:0.3794,G.loss:1.6085\n",
            "Epoch: 197/200-Batch\\h: 255/938--D.loss:0.4042,G.loss:1.6657\n",
            "Epoch: 197/200-Batch\\h: 256/938--D.loss:0.3552,G.loss:1.4644\n",
            "Epoch: 197/200-Batch\\h: 257/938--D.loss:0.4079,G.loss:1.8811\n",
            "Epoch: 197/200-Batch\\h: 258/938--D.loss:0.2833,G.loss:1.4964\n",
            "Epoch: 197/200-Batch\\h: 259/938--D.loss:0.4047,G.loss:1.7297\n",
            "Epoch: 197/200-Batch\\h: 260/938--D.loss:0.3092,G.loss:1.6206\n",
            "Epoch: 197/200-Batch\\h: 261/938--D.loss:0.3461,G.loss:1.8028\n",
            "Epoch: 197/200-Batch\\h: 262/938--D.loss:0.3255,G.loss:1.7008\n",
            "Epoch: 197/200-Batch\\h: 263/938--D.loss:0.3551,G.loss:2.0000\n",
            "Epoch: 197/200-Batch\\h: 264/938--D.loss:0.2747,G.loss:1.5949\n",
            "Epoch: 197/200-Batch\\h: 265/938--D.loss:0.2797,G.loss:1.8499\n",
            "Epoch: 197/200-Batch\\h: 266/938--D.loss:0.4404,G.loss:1.6801\n",
            "Epoch: 197/200-Batch\\h: 267/938--D.loss:0.3349,G.loss:1.7112\n",
            "Epoch: 197/200-Batch\\h: 268/938--D.loss:0.3510,G.loss:1.7883\n",
            "Epoch: 197/200-Batch\\h: 269/938--D.loss:0.4050,G.loss:1.8082\n",
            "Epoch: 197/200-Batch\\h: 270/938--D.loss:0.3410,G.loss:1.4797\n",
            "Epoch: 197/200-Batch\\h: 271/938--D.loss:0.3458,G.loss:1.5246\n",
            "Epoch: 197/200-Batch\\h: 272/938--D.loss:0.3391,G.loss:1.5926\n",
            "Epoch: 197/200-Batch\\h: 273/938--D.loss:0.3829,G.loss:1.9681\n",
            "Epoch: 197/200-Batch\\h: 274/938--D.loss:0.3669,G.loss:1.2942\n",
            "Epoch: 197/200-Batch\\h: 275/938--D.loss:0.2849,G.loss:1.5408\n",
            "Epoch: 197/200-Batch\\h: 276/938--D.loss:0.3362,G.loss:2.1016\n",
            "Epoch: 197/200-Batch\\h: 277/938--D.loss:0.3493,G.loss:1.7685\n",
            "Epoch: 197/200-Batch\\h: 278/938--D.loss:0.3267,G.loss:1.4998\n",
            "Epoch: 197/200-Batch\\h: 279/938--D.loss:0.3945,G.loss:1.8525\n",
            "Epoch: 197/200-Batch\\h: 280/938--D.loss:0.3902,G.loss:1.7220\n",
            "Epoch: 197/200-Batch\\h: 281/938--D.loss:0.3889,G.loss:1.4790\n",
            "Epoch: 197/200-Batch\\h: 282/938--D.loss:0.3579,G.loss:1.8183\n",
            "Epoch: 197/200-Batch\\h: 283/938--D.loss:0.4151,G.loss:1.9232\n",
            "Epoch: 197/200-Batch\\h: 284/938--D.loss:0.3870,G.loss:1.1592\n",
            "Epoch: 197/200-Batch\\h: 285/938--D.loss:0.3773,G.loss:1.7230\n",
            "Epoch: 197/200-Batch\\h: 286/938--D.loss:0.3635,G.loss:1.6008\n",
            "Epoch: 197/200-Batch\\h: 287/938--D.loss:0.3533,G.loss:1.9647\n",
            "Epoch: 197/200-Batch\\h: 288/938--D.loss:0.3833,G.loss:1.4320\n",
            "Epoch: 197/200-Batch\\h: 289/938--D.loss:0.3111,G.loss:1.5270\n",
            "Epoch: 197/200-Batch\\h: 290/938--D.loss:0.4171,G.loss:1.7371\n",
            "Epoch: 197/200-Batch\\h: 291/938--D.loss:0.3133,G.loss:1.7152\n",
            "Epoch: 197/200-Batch\\h: 292/938--D.loss:0.3164,G.loss:1.5033\n",
            "Epoch: 197/200-Batch\\h: 293/938--D.loss:0.3629,G.loss:1.9211\n",
            "Epoch: 197/200-Batch\\h: 294/938--D.loss:0.3807,G.loss:1.7860\n",
            "Epoch: 197/200-Batch\\h: 295/938--D.loss:0.3341,G.loss:1.4839\n",
            "Epoch: 197/200-Batch\\h: 296/938--D.loss:0.3552,G.loss:1.3684\n",
            "Epoch: 197/200-Batch\\h: 297/938--D.loss:0.3677,G.loss:1.9609\n",
            "Epoch: 197/200-Batch\\h: 298/938--D.loss:0.3386,G.loss:1.8016\n",
            "Epoch: 197/200-Batch\\h: 299/938--D.loss:0.3307,G.loss:1.7214\n",
            "Epoch: 197/200-Batch\\h: 300/938--D.loss:0.4383,G.loss:1.7182\n",
            "Epoch: 197/200-Batch\\h: 301/938--D.loss:0.4360,G.loss:1.3635\n",
            "Epoch: 197/200-Batch\\h: 302/938--D.loss:0.3582,G.loss:1.2605\n",
            "Epoch: 197/200-Batch\\h: 303/938--D.loss:0.3806,G.loss:1.5921\n",
            "Epoch: 197/200-Batch\\h: 304/938--D.loss:0.3275,G.loss:1.6974\n",
            "Epoch: 197/200-Batch\\h: 305/938--D.loss:0.3454,G.loss:1.6703\n",
            "Epoch: 197/200-Batch\\h: 306/938--D.loss:0.3648,G.loss:1.6778\n",
            "Epoch: 197/200-Batch\\h: 307/938--D.loss:0.3526,G.loss:1.7375\n",
            "Epoch: 197/200-Batch\\h: 308/938--D.loss:0.3275,G.loss:1.8063\n",
            "Epoch: 197/200-Batch\\h: 309/938--D.loss:0.3266,G.loss:1.6071\n",
            "Epoch: 197/200-Batch\\h: 310/938--D.loss:0.3229,G.loss:1.5588\n",
            "Epoch: 197/200-Batch\\h: 311/938--D.loss:0.4368,G.loss:2.1871\n",
            "Epoch: 197/200-Batch\\h: 312/938--D.loss:0.3575,G.loss:1.5581\n",
            "Epoch: 197/200-Batch\\h: 313/938--D.loss:0.2553,G.loss:1.4390\n",
            "Epoch: 197/200-Batch\\h: 314/938--D.loss:0.2694,G.loss:1.7683\n",
            "Epoch: 197/200-Batch\\h: 315/938--D.loss:0.4436,G.loss:2.2577\n",
            "Epoch: 197/200-Batch\\h: 316/938--D.loss:0.4242,G.loss:1.9279\n",
            "Epoch: 197/200-Batch\\h: 317/938--D.loss:0.4683,G.loss:1.2322\n",
            "Epoch: 197/200-Batch\\h: 318/938--D.loss:0.4248,G.loss:1.3814\n",
            "Epoch: 197/200-Batch\\h: 319/938--D.loss:0.3305,G.loss:1.8636\n",
            "Epoch: 197/200-Batch\\h: 320/938--D.loss:0.3312,G.loss:1.7411\n",
            "Epoch: 197/200-Batch\\h: 321/938--D.loss:0.4779,G.loss:1.7492\n",
            "Epoch: 197/200-Batch\\h: 322/938--D.loss:0.3076,G.loss:1.4869\n",
            "Epoch: 197/200-Batch\\h: 323/938--D.loss:0.3549,G.loss:1.4449\n",
            "Epoch: 197/200-Batch\\h: 324/938--D.loss:0.3635,G.loss:1.8811\n",
            "Epoch: 197/200-Batch\\h: 325/938--D.loss:0.3038,G.loss:1.9658\n",
            "Epoch: 197/200-Batch\\h: 326/938--D.loss:0.3481,G.loss:1.4257\n",
            "Epoch: 197/200-Batch\\h: 327/938--D.loss:0.2762,G.loss:1.5136\n",
            "Epoch: 197/200-Batch\\h: 328/938--D.loss:0.3012,G.loss:1.7261\n",
            "Epoch: 197/200-Batch\\h: 329/938--D.loss:0.3455,G.loss:1.7975\n",
            "Epoch: 197/200-Batch\\h: 330/938--D.loss:0.3729,G.loss:2.1465\n",
            "Epoch: 197/200-Batch\\h: 331/938--D.loss:0.3939,G.loss:1.7051\n",
            "Epoch: 197/200-Batch\\h: 332/938--D.loss:0.3207,G.loss:1.5678\n",
            "Epoch: 197/200-Batch\\h: 333/938--D.loss:0.3950,G.loss:1.7484\n",
            "Epoch: 197/200-Batch\\h: 334/938--D.loss:0.3305,G.loss:1.5704\n",
            "Epoch: 197/200-Batch\\h: 335/938--D.loss:0.3267,G.loss:1.6177\n",
            "Epoch: 197/200-Batch\\h: 336/938--D.loss:0.2381,G.loss:2.1038\n",
            "Epoch: 197/200-Batch\\h: 337/938--D.loss:0.4103,G.loss:2.1196\n",
            "Epoch: 197/200-Batch\\h: 338/938--D.loss:0.3465,G.loss:1.3857\n",
            "Epoch: 197/200-Batch\\h: 339/938--D.loss:0.4110,G.loss:1.5428\n",
            "Epoch: 197/200-Batch\\h: 340/938--D.loss:0.3830,G.loss:1.6438\n",
            "Epoch: 197/200-Batch\\h: 341/938--D.loss:0.3049,G.loss:1.6418\n",
            "Epoch: 197/200-Batch\\h: 342/938--D.loss:0.3632,G.loss:2.0202\n",
            "Epoch: 197/200-Batch\\h: 343/938--D.loss:0.3757,G.loss:1.4532\n",
            "Epoch: 197/200-Batch\\h: 344/938--D.loss:0.3532,G.loss:1.4943\n",
            "Epoch: 197/200-Batch\\h: 345/938--D.loss:0.3987,G.loss:1.7354\n",
            "Epoch: 197/200-Batch\\h: 346/938--D.loss:0.3487,G.loss:1.5834\n",
            "Epoch: 197/200-Batch\\h: 347/938--D.loss:0.3015,G.loss:1.5093\n",
            "Epoch: 197/200-Batch\\h: 348/938--D.loss:0.3663,G.loss:1.5937\n",
            "Epoch: 197/200-Batch\\h: 349/938--D.loss:0.4079,G.loss:1.8084\n",
            "Epoch: 197/200-Batch\\h: 350/938--D.loss:0.3646,G.loss:1.5404\n",
            "Epoch: 197/200-Batch\\h: 351/938--D.loss:0.3776,G.loss:1.5010\n",
            "Epoch: 197/200-Batch\\h: 352/938--D.loss:0.3554,G.loss:1.6672\n",
            "Epoch: 197/200-Batch\\h: 353/938--D.loss:0.4377,G.loss:1.7381\n",
            "Epoch: 197/200-Batch\\h: 354/938--D.loss:0.3494,G.loss:1.9449\n",
            "Epoch: 197/200-Batch\\h: 355/938--D.loss:0.3235,G.loss:1.5479\n",
            "Epoch: 197/200-Batch\\h: 356/938--D.loss:0.3597,G.loss:1.7052\n",
            "Epoch: 197/200-Batch\\h: 357/938--D.loss:0.3080,G.loss:1.8318\n",
            "Epoch: 197/200-Batch\\h: 358/938--D.loss:0.3368,G.loss:1.7739\n",
            "Epoch: 197/200-Batch\\h: 359/938--D.loss:0.3473,G.loss:1.6867\n",
            "Epoch: 197/200-Batch\\h: 360/938--D.loss:0.3854,G.loss:1.8492\n",
            "Epoch: 197/200-Batch\\h: 361/938--D.loss:0.4626,G.loss:1.5962\n",
            "Epoch: 197/200-Batch\\h: 362/938--D.loss:0.3277,G.loss:1.7166\n",
            "Epoch: 197/200-Batch\\h: 363/938--D.loss:0.3265,G.loss:1.5351\n",
            "Epoch: 197/200-Batch\\h: 364/938--D.loss:0.3639,G.loss:1.6718\n",
            "Epoch: 197/200-Batch\\h: 365/938--D.loss:0.4643,G.loss:1.3521\n",
            "Epoch: 197/200-Batch\\h: 366/938--D.loss:0.3592,G.loss:1.8564\n",
            "Epoch: 197/200-Batch\\h: 367/938--D.loss:0.2693,G.loss:1.8726\n",
            "Epoch: 197/200-Batch\\h: 368/938--D.loss:0.3961,G.loss:1.6205\n",
            "Epoch: 197/200-Batch\\h: 369/938--D.loss:0.3573,G.loss:1.4942\n",
            "Epoch: 197/200-Batch\\h: 370/938--D.loss:0.3290,G.loss:1.4793\n",
            "Epoch: 197/200-Batch\\h: 371/938--D.loss:0.3742,G.loss:1.6359\n",
            "Epoch: 197/200-Batch\\h: 372/938--D.loss:0.3268,G.loss:1.7275\n",
            "Epoch: 197/200-Batch\\h: 373/938--D.loss:0.3354,G.loss:1.6354\n",
            "Epoch: 197/200-Batch\\h: 374/938--D.loss:0.3845,G.loss:2.2612\n",
            "Epoch: 197/200-Batch\\h: 375/938--D.loss:0.3918,G.loss:1.6342\n",
            "Epoch: 197/200-Batch\\h: 376/938--D.loss:0.3243,G.loss:1.9078\n",
            "Epoch: 197/200-Batch\\h: 377/938--D.loss:0.3752,G.loss:1.4207\n",
            "Epoch: 197/200-Batch\\h: 378/938--D.loss:0.2874,G.loss:1.7370\n",
            "Epoch: 197/200-Batch\\h: 379/938--D.loss:0.3303,G.loss:1.6754\n",
            "Epoch: 197/200-Batch\\h: 380/938--D.loss:0.3227,G.loss:1.9110\n",
            "Epoch: 197/200-Batch\\h: 381/938--D.loss:0.2898,G.loss:1.6732\n",
            "Epoch: 197/200-Batch\\h: 382/938--D.loss:0.3543,G.loss:1.9632\n",
            "Epoch: 197/200-Batch\\h: 383/938--D.loss:0.3343,G.loss:1.8614\n",
            "Epoch: 197/200-Batch\\h: 384/938--D.loss:0.3442,G.loss:1.9237\n",
            "Epoch: 197/200-Batch\\h: 385/938--D.loss:0.3765,G.loss:1.7200\n",
            "Epoch: 197/200-Batch\\h: 386/938--D.loss:0.3380,G.loss:1.4230\n",
            "Epoch: 197/200-Batch\\h: 387/938--D.loss:0.3937,G.loss:1.7838\n",
            "Epoch: 197/200-Batch\\h: 388/938--D.loss:0.4509,G.loss:1.7453\n",
            "Epoch: 197/200-Batch\\h: 389/938--D.loss:0.3968,G.loss:1.5823\n",
            "Epoch: 197/200-Batch\\h: 390/938--D.loss:0.3562,G.loss:1.7196\n",
            "Epoch: 197/200-Batch\\h: 391/938--D.loss:0.3693,G.loss:1.5029\n",
            "Epoch: 197/200-Batch\\h: 392/938--D.loss:0.3458,G.loss:1.5207\n",
            "Epoch: 197/200-Batch\\h: 393/938--D.loss:0.3497,G.loss:1.6300\n",
            "Epoch: 197/200-Batch\\h: 394/938--D.loss:0.4193,G.loss:1.8133\n",
            "Epoch: 197/200-Batch\\h: 395/938--D.loss:0.3940,G.loss:1.4734\n",
            "Epoch: 197/200-Batch\\h: 396/938--D.loss:0.3046,G.loss:1.6965\n",
            "Epoch: 197/200-Batch\\h: 397/938--D.loss:0.3349,G.loss:1.5569\n",
            "Epoch: 197/200-Batch\\h: 398/938--D.loss:0.3458,G.loss:1.6031\n",
            "Epoch: 197/200-Batch\\h: 399/938--D.loss:0.3265,G.loss:1.6470\n",
            "Epoch: 197/200-Batch\\h: 400/938--D.loss:0.3590,G.loss:1.6506\n",
            "Epoch: 197/200-Batch\\h: 401/938--D.loss:0.3507,G.loss:1.7644\n",
            "Epoch: 197/200-Batch\\h: 402/938--D.loss:0.4231,G.loss:1.9998\n",
            "Epoch: 197/200-Batch\\h: 403/938--D.loss:0.3862,G.loss:1.5176\n",
            "Epoch: 197/200-Batch\\h: 404/938--D.loss:0.4074,G.loss:1.7510\n",
            "Epoch: 197/200-Batch\\h: 405/938--D.loss:0.3645,G.loss:1.4819\n",
            "Epoch: 197/200-Batch\\h: 406/938--D.loss:0.3908,G.loss:1.5009\n",
            "Epoch: 197/200-Batch\\h: 407/938--D.loss:0.3842,G.loss:1.6161\n",
            "Epoch: 197/200-Batch\\h: 408/938--D.loss:0.3288,G.loss:1.4318\n",
            "Epoch: 197/200-Batch\\h: 409/938--D.loss:0.3817,G.loss:1.5328\n",
            "Epoch: 197/200-Batch\\h: 410/938--D.loss:0.4176,G.loss:2.0366\n",
            "Epoch: 197/200-Batch\\h: 411/938--D.loss:0.4550,G.loss:1.4698\n",
            "Epoch: 197/200-Batch\\h: 412/938--D.loss:0.4004,G.loss:1.6817\n",
            "Epoch: 197/200-Batch\\h: 413/938--D.loss:0.3346,G.loss:1.7252\n",
            "Epoch: 197/200-Batch\\h: 414/938--D.loss:0.3285,G.loss:1.6427\n",
            "Epoch: 197/200-Batch\\h: 415/938--D.loss:0.3160,G.loss:1.6705\n",
            "Epoch: 197/200-Batch\\h: 416/938--D.loss:0.4814,G.loss:1.8483\n",
            "Epoch: 197/200-Batch\\h: 417/938--D.loss:0.3571,G.loss:1.6862\n",
            "Epoch: 197/200-Batch\\h: 418/938--D.loss:0.3236,G.loss:1.1697\n",
            "Epoch: 197/200-Batch\\h: 419/938--D.loss:0.2946,G.loss:1.7317\n",
            "Epoch: 197/200-Batch\\h: 420/938--D.loss:0.3691,G.loss:1.9045\n",
            "Epoch: 197/200-Batch\\h: 421/938--D.loss:0.3434,G.loss:1.6299\n",
            "Epoch: 197/200-Batch\\h: 422/938--D.loss:0.3284,G.loss:1.5402\n",
            "Epoch: 197/200-Batch\\h: 423/938--D.loss:0.3588,G.loss:1.9902\n",
            "Epoch: 197/200-Batch\\h: 424/938--D.loss:0.2929,G.loss:1.6651\n",
            "Epoch: 197/200-Batch\\h: 425/938--D.loss:0.3360,G.loss:1.5004\n",
            "Epoch: 197/200-Batch\\h: 426/938--D.loss:0.3379,G.loss:1.7538\n",
            "Epoch: 197/200-Batch\\h: 427/938--D.loss:0.3125,G.loss:1.6384\n",
            "Epoch: 197/200-Batch\\h: 428/938--D.loss:0.3902,G.loss:1.9366\n",
            "Epoch: 197/200-Batch\\h: 429/938--D.loss:0.3337,G.loss:1.9003\n",
            "Epoch: 197/200-Batch\\h: 430/938--D.loss:0.3624,G.loss:1.5397\n",
            "Epoch: 197/200-Batch\\h: 431/938--D.loss:0.3367,G.loss:2.0438\n",
            "Epoch: 197/200-Batch\\h: 432/938--D.loss:0.3367,G.loss:1.9985\n",
            "Epoch: 197/200-Batch\\h: 433/938--D.loss:0.3337,G.loss:1.5787\n",
            "Epoch: 197/200-Batch\\h: 434/938--D.loss:0.3456,G.loss:1.6933\n",
            "Epoch: 197/200-Batch\\h: 435/938--D.loss:0.3155,G.loss:1.8511\n",
            "Epoch: 197/200-Batch\\h: 436/938--D.loss:0.3236,G.loss:1.6615\n",
            "Epoch: 197/200-Batch\\h: 437/938--D.loss:0.4189,G.loss:1.8472\n",
            "Epoch: 197/200-Batch\\h: 438/938--D.loss:0.3302,G.loss:1.7330\n",
            "Epoch: 197/200-Batch\\h: 439/938--D.loss:0.3492,G.loss:1.4536\n",
            "Epoch: 197/200-Batch\\h: 440/938--D.loss:0.3163,G.loss:1.7968\n",
            "Epoch: 197/200-Batch\\h: 441/938--D.loss:0.3507,G.loss:1.9416\n",
            "Epoch: 197/200-Batch\\h: 442/938--D.loss:0.3724,G.loss:1.4292\n",
            "Epoch: 197/200-Batch\\h: 443/938--D.loss:0.4648,G.loss:2.2525\n",
            "Epoch: 197/200-Batch\\h: 444/938--D.loss:0.3612,G.loss:1.6084\n",
            "Epoch: 197/200-Batch\\h: 445/938--D.loss:0.4453,G.loss:1.4746\n",
            "Epoch: 197/200-Batch\\h: 446/938--D.loss:0.3543,G.loss:1.3101\n",
            "Epoch: 197/200-Batch\\h: 447/938--D.loss:0.3963,G.loss:1.6586\n",
            "Epoch: 197/200-Batch\\h: 448/938--D.loss:0.3326,G.loss:1.6536\n",
            "Epoch: 197/200-Batch\\h: 449/938--D.loss:0.3775,G.loss:1.7016\n",
            "Epoch: 197/200-Batch\\h: 450/938--D.loss:0.3699,G.loss:1.8292\n",
            "Epoch: 197/200-Batch\\h: 451/938--D.loss:0.3155,G.loss:1.7256\n",
            "Epoch: 197/200-Batch\\h: 452/938--D.loss:0.3149,G.loss:1.6979\n",
            "Epoch: 197/200-Batch\\h: 453/938--D.loss:0.4396,G.loss:1.7033\n",
            "Epoch: 197/200-Batch\\h: 454/938--D.loss:0.3582,G.loss:1.6018\n",
            "Epoch: 197/200-Batch\\h: 455/938--D.loss:0.2939,G.loss:1.5477\n",
            "Epoch: 197/200-Batch\\h: 456/938--D.loss:0.3667,G.loss:1.8621\n",
            "Epoch: 197/200-Batch\\h: 457/938--D.loss:0.3086,G.loss:1.7445\n",
            "Epoch: 197/200-Batch\\h: 458/938--D.loss:0.3230,G.loss:1.9595\n",
            "Epoch: 197/200-Batch\\h: 459/938--D.loss:0.3745,G.loss:1.6566\n",
            "Epoch: 197/200-Batch\\h: 460/938--D.loss:0.3582,G.loss:1.5902\n",
            "Epoch: 197/200-Batch\\h: 461/938--D.loss:0.4197,G.loss:1.7319\n",
            "Epoch: 197/200-Batch\\h: 462/938--D.loss:0.3511,G.loss:2.0388\n",
            "Epoch: 197/200-Batch\\h: 463/938--D.loss:0.3027,G.loss:1.7628\n",
            "Epoch: 197/200-Batch\\h: 464/938--D.loss:0.4039,G.loss:1.3596\n",
            "Epoch: 197/200-Batch\\h: 465/938--D.loss:0.5467,G.loss:1.8959\n",
            "Epoch: 197/200-Batch\\h: 466/938--D.loss:0.4120,G.loss:1.5484\n",
            "Epoch: 197/200-Batch\\h: 467/938--D.loss:0.3681,G.loss:1.1522\n",
            "Epoch: 197/200-Batch\\h: 468/938--D.loss:0.4140,G.loss:1.5904\n",
            "Epoch: 197/200-Batch\\h: 469/938--D.loss:0.3646,G.loss:1.8586\n",
            "Epoch: 197/200-Batch\\h: 470/938--D.loss:0.3964,G.loss:1.8154\n",
            "Epoch: 197/200-Batch\\h: 471/938--D.loss:0.3839,G.loss:1.6459\n",
            "Epoch: 197/200-Batch\\h: 472/938--D.loss:0.4281,G.loss:1.5717\n",
            "Epoch: 197/200-Batch\\h: 473/938--D.loss:0.4308,G.loss:2.1038\n",
            "Epoch: 197/200-Batch\\h: 474/938--D.loss:0.4590,G.loss:1.2642\n",
            "Epoch: 197/200-Batch\\h: 475/938--D.loss:0.3456,G.loss:1.2613\n",
            "Epoch: 197/200-Batch\\h: 476/938--D.loss:0.3636,G.loss:2.1295\n",
            "Epoch: 197/200-Batch\\h: 477/938--D.loss:0.4068,G.loss:1.8956\n",
            "Epoch: 197/200-Batch\\h: 478/938--D.loss:0.4230,G.loss:1.3040\n",
            "Epoch: 197/200-Batch\\h: 479/938--D.loss:0.3234,G.loss:1.5026\n",
            "Epoch: 197/200-Batch\\h: 480/938--D.loss:0.3838,G.loss:1.8535\n",
            "Epoch: 197/200-Batch\\h: 481/938--D.loss:0.3606,G.loss:1.7807\n",
            "Epoch: 197/200-Batch\\h: 482/938--D.loss:0.3423,G.loss:1.3342\n",
            "Epoch: 197/200-Batch\\h: 483/938--D.loss:0.3295,G.loss:1.5439\n",
            "Epoch: 197/200-Batch\\h: 484/938--D.loss:0.3229,G.loss:2.1514\n",
            "Epoch: 197/200-Batch\\h: 485/938--D.loss:0.3672,G.loss:2.0031\n",
            "Epoch: 197/200-Batch\\h: 486/938--D.loss:0.3252,G.loss:1.5569\n",
            "Epoch: 197/200-Batch\\h: 487/938--D.loss:0.3600,G.loss:1.5387\n",
            "Epoch: 197/200-Batch\\h: 488/938--D.loss:0.4445,G.loss:1.6873\n",
            "Epoch: 197/200-Batch\\h: 489/938--D.loss:0.3661,G.loss:1.9153\n",
            "Epoch: 197/200-Batch\\h: 490/938--D.loss:0.4006,G.loss:1.5408\n",
            "Epoch: 197/200-Batch\\h: 491/938--D.loss:0.3233,G.loss:1.5463\n",
            "Epoch: 197/200-Batch\\h: 492/938--D.loss:0.3255,G.loss:1.6713\n",
            "Epoch: 197/200-Batch\\h: 493/938--D.loss:0.4001,G.loss:1.4028\n",
            "Epoch: 197/200-Batch\\h: 494/938--D.loss:0.3828,G.loss:1.8063\n",
            "Epoch: 197/200-Batch\\h: 495/938--D.loss:0.3469,G.loss:1.9406\n",
            "Epoch: 197/200-Batch\\h: 496/938--D.loss:0.3627,G.loss:1.4982\n",
            "Epoch: 197/200-Batch\\h: 497/938--D.loss:0.3431,G.loss:1.7342\n",
            "Epoch: 197/200-Batch\\h: 498/938--D.loss:0.3521,G.loss:1.4990\n",
            "Epoch: 197/200-Batch\\h: 499/938--D.loss:0.3603,G.loss:1.7069\n",
            "Epoch: 197/200-Batch\\h: 500/938--D.loss:0.3359,G.loss:1.9211\n",
            "Epoch: 197/200-Batch\\h: 501/938--D.loss:0.3801,G.loss:1.5507\n",
            "Epoch: 197/200-Batch\\h: 502/938--D.loss:0.4541,G.loss:1.3201\n",
            "Epoch: 197/200-Batch\\h: 503/938--D.loss:0.3149,G.loss:1.6747\n",
            "Epoch: 197/200-Batch\\h: 504/938--D.loss:0.3665,G.loss:2.1797\n",
            "Epoch: 197/200-Batch\\h: 505/938--D.loss:0.3896,G.loss:1.4777\n",
            "Epoch: 197/200-Batch\\h: 506/938--D.loss:0.3641,G.loss:1.2405\n",
            "Epoch: 197/200-Batch\\h: 507/938--D.loss:0.3327,G.loss:1.6467\n",
            "Epoch: 197/200-Batch\\h: 508/938--D.loss:0.4394,G.loss:2.1058\n",
            "Epoch: 197/200-Batch\\h: 509/938--D.loss:0.3533,G.loss:1.5935\n",
            "Epoch: 197/200-Batch\\h: 510/938--D.loss:0.4426,G.loss:1.7120\n",
            "Epoch: 197/200-Batch\\h: 511/938--D.loss:0.4034,G.loss:1.2517\n",
            "Epoch: 197/200-Batch\\h: 512/938--D.loss:0.3530,G.loss:1.7257\n",
            "Epoch: 197/200-Batch\\h: 513/938--D.loss:0.3309,G.loss:1.5293\n",
            "Epoch: 197/200-Batch\\h: 514/938--D.loss:0.3916,G.loss:1.7416\n",
            "Epoch: 197/200-Batch\\h: 515/938--D.loss:0.3244,G.loss:1.7652\n",
            "Epoch: 197/200-Batch\\h: 516/938--D.loss:0.3559,G.loss:1.5885\n",
            "Epoch: 197/200-Batch\\h: 517/938--D.loss:0.3415,G.loss:1.5809\n",
            "Epoch: 197/200-Batch\\h: 518/938--D.loss:0.3707,G.loss:1.5991\n",
            "Epoch: 197/200-Batch\\h: 519/938--D.loss:0.3602,G.loss:1.8072\n",
            "Epoch: 197/200-Batch\\h: 520/938--D.loss:0.3519,G.loss:1.6498\n",
            "Epoch: 197/200-Batch\\h: 521/938--D.loss:0.3054,G.loss:1.7202\n",
            "Epoch: 197/200-Batch\\h: 522/938--D.loss:0.3241,G.loss:1.8120\n",
            "Epoch: 197/200-Batch\\h: 523/938--D.loss:0.3350,G.loss:1.6197\n",
            "Epoch: 197/200-Batch\\h: 524/938--D.loss:0.3182,G.loss:1.6176\n",
            "Epoch: 197/200-Batch\\h: 525/938--D.loss:0.2933,G.loss:1.8731\n",
            "Epoch: 197/200-Batch\\h: 526/938--D.loss:0.3872,G.loss:1.9194\n",
            "Epoch: 197/200-Batch\\h: 527/938--D.loss:0.4034,G.loss:1.5671\n",
            "Epoch: 197/200-Batch\\h: 528/938--D.loss:0.3253,G.loss:1.6730\n",
            "Epoch: 197/200-Batch\\h: 529/938--D.loss:0.3659,G.loss:1.8504\n",
            "Epoch: 197/200-Batch\\h: 530/938--D.loss:0.3089,G.loss:1.6780\n",
            "Epoch: 197/200-Batch\\h: 531/938--D.loss:0.3114,G.loss:1.8384\n",
            "Epoch: 197/200-Batch\\h: 532/938--D.loss:0.3309,G.loss:1.4553\n",
            "Epoch: 197/200-Batch\\h: 533/938--D.loss:0.4302,G.loss:1.8318\n",
            "Epoch: 197/200-Batch\\h: 534/938--D.loss:0.3177,G.loss:1.3674\n",
            "Epoch: 197/200-Batch\\h: 535/938--D.loss:0.3544,G.loss:1.8017\n",
            "Epoch: 197/200-Batch\\h: 536/938--D.loss:0.3146,G.loss:1.7138\n",
            "Epoch: 197/200-Batch\\h: 537/938--D.loss:0.3508,G.loss:1.8588\n",
            "Epoch: 197/200-Batch\\h: 538/938--D.loss:0.3620,G.loss:1.5277\n",
            "Epoch: 197/200-Batch\\h: 539/938--D.loss:0.3341,G.loss:1.5047\n",
            "Epoch: 197/200-Batch\\h: 540/938--D.loss:0.3443,G.loss:1.8726\n",
            "Epoch: 197/200-Batch\\h: 541/938--D.loss:0.3479,G.loss:1.6878\n",
            "Epoch: 197/200-Batch\\h: 542/938--D.loss:0.4058,G.loss:1.3208\n",
            "Epoch: 197/200-Batch\\h: 543/938--D.loss:0.4416,G.loss:1.3485\n",
            "Epoch: 197/200-Batch\\h: 544/938--D.loss:0.3670,G.loss:2.0344\n",
            "Epoch: 197/200-Batch\\h: 545/938--D.loss:0.3908,G.loss:1.5096\n",
            "Epoch: 197/200-Batch\\h: 546/938--D.loss:0.3026,G.loss:1.5806\n",
            "Epoch: 197/200-Batch\\h: 547/938--D.loss:0.3421,G.loss:1.7439\n",
            "Epoch: 197/200-Batch\\h: 548/938--D.loss:0.3291,G.loss:1.7426\n",
            "Epoch: 197/200-Batch\\h: 549/938--D.loss:0.4005,G.loss:1.4206\n",
            "Epoch: 197/200-Batch\\h: 550/938--D.loss:0.2760,G.loss:1.9032\n",
            "Epoch: 197/200-Batch\\h: 551/938--D.loss:0.2964,G.loss:1.8374\n",
            "Epoch: 197/200-Batch\\h: 552/938--D.loss:0.3055,G.loss:1.6799\n",
            "Epoch: 197/200-Batch\\h: 553/938--D.loss:0.4251,G.loss:2.0496\n",
            "Epoch: 197/200-Batch\\h: 554/938--D.loss:0.4103,G.loss:1.9770\n",
            "Epoch: 197/200-Batch\\h: 555/938--D.loss:0.3891,G.loss:1.4896\n",
            "Epoch: 197/200-Batch\\h: 556/938--D.loss:0.3913,G.loss:1.7569\n",
            "Epoch: 197/200-Batch\\h: 557/938--D.loss:0.3405,G.loss:1.5102\n",
            "Epoch: 197/200-Batch\\h: 558/938--D.loss:0.3257,G.loss:1.7759\n",
            "Epoch: 197/200-Batch\\h: 559/938--D.loss:0.3559,G.loss:1.9255\n",
            "Epoch: 197/200-Batch\\h: 560/938--D.loss:0.4424,G.loss:1.5093\n",
            "Epoch: 197/200-Batch\\h: 561/938--D.loss:0.3478,G.loss:1.2048\n",
            "Epoch: 197/200-Batch\\h: 562/938--D.loss:0.3495,G.loss:2.0563\n",
            "Epoch: 197/200-Batch\\h: 563/938--D.loss:0.4078,G.loss:1.6074\n",
            "Epoch: 197/200-Batch\\h: 564/938--D.loss:0.2977,G.loss:1.7151\n",
            "Epoch: 197/200-Batch\\h: 565/938--D.loss:0.4298,G.loss:2.2310\n",
            "Epoch: 197/200-Batch\\h: 566/938--D.loss:0.3588,G.loss:1.3980\n",
            "Epoch: 197/200-Batch\\h: 567/938--D.loss:0.3275,G.loss:1.5059\n",
            "Epoch: 197/200-Batch\\h: 568/938--D.loss:0.2941,G.loss:1.6931\n",
            "Epoch: 197/200-Batch\\h: 569/938--D.loss:0.2776,G.loss:1.8647\n",
            "Epoch: 197/200-Batch\\h: 570/938--D.loss:0.3817,G.loss:1.8902\n",
            "Epoch: 197/200-Batch\\h: 571/938--D.loss:0.3303,G.loss:1.6256\n",
            "Epoch: 197/200-Batch\\h: 572/938--D.loss:0.3809,G.loss:1.3531\n",
            "Epoch: 197/200-Batch\\h: 573/938--D.loss:0.3256,G.loss:1.7232\n",
            "Epoch: 197/200-Batch\\h: 574/938--D.loss:0.2780,G.loss:2.0626\n",
            "Epoch: 197/200-Batch\\h: 575/938--D.loss:0.3446,G.loss:1.8306\n",
            "Epoch: 197/200-Batch\\h: 576/938--D.loss:0.3637,G.loss:1.5320\n",
            "Epoch: 197/200-Batch\\h: 577/938--D.loss:0.3783,G.loss:1.6523\n",
            "Epoch: 197/200-Batch\\h: 578/938--D.loss:0.3010,G.loss:1.8583\n",
            "Epoch: 197/200-Batch\\h: 579/938--D.loss:0.2975,G.loss:1.7681\n",
            "Epoch: 197/200-Batch\\h: 580/938--D.loss:0.3105,G.loss:1.8814\n",
            "Epoch: 197/200-Batch\\h: 581/938--D.loss:0.2764,G.loss:1.8274\n",
            "Epoch: 197/200-Batch\\h: 582/938--D.loss:0.4733,G.loss:1.8432\n",
            "Epoch: 197/200-Batch\\h: 583/938--D.loss:0.4094,G.loss:1.3485\n",
            "Epoch: 197/200-Batch\\h: 584/938--D.loss:0.3568,G.loss:1.3786\n",
            "Epoch: 197/200-Batch\\h: 585/938--D.loss:0.4306,G.loss:1.6360\n",
            "Epoch: 197/200-Batch\\h: 586/938--D.loss:0.3186,G.loss:1.7634\n",
            "Epoch: 197/200-Batch\\h: 587/938--D.loss:0.3157,G.loss:1.8138\n",
            "Epoch: 197/200-Batch\\h: 588/938--D.loss:0.3547,G.loss:1.5857\n",
            "Epoch: 197/200-Batch\\h: 589/938--D.loss:0.3345,G.loss:1.6159\n",
            "Epoch: 197/200-Batch\\h: 590/938--D.loss:0.3776,G.loss:1.8280\n",
            "Epoch: 197/200-Batch\\h: 591/938--D.loss:0.3436,G.loss:1.5970\n",
            "Epoch: 197/200-Batch\\h: 592/938--D.loss:0.2758,G.loss:1.8727\n",
            "Epoch: 197/200-Batch\\h: 593/938--D.loss:0.3866,G.loss:1.6054\n",
            "Epoch: 197/200-Batch\\h: 594/938--D.loss:0.3253,G.loss:1.7691\n",
            "Epoch: 197/200-Batch\\h: 595/938--D.loss:0.3915,G.loss:1.8580\n",
            "Epoch: 197/200-Batch\\h: 596/938--D.loss:0.4272,G.loss:1.5527\n",
            "Epoch: 197/200-Batch\\h: 597/938--D.loss:0.3270,G.loss:1.3398\n",
            "Epoch: 197/200-Batch\\h: 598/938--D.loss:0.3352,G.loss:1.5898\n",
            "Epoch: 197/200-Batch\\h: 599/938--D.loss:0.2914,G.loss:1.8702\n",
            "Epoch: 197/200-Batch\\h: 600/938--D.loss:0.3316,G.loss:1.5542\n",
            "Epoch: 197/200-Batch\\h: 601/938--D.loss:0.3240,G.loss:1.8689\n",
            "Epoch: 197/200-Batch\\h: 602/938--D.loss:0.3562,G.loss:1.7490\n",
            "Epoch: 197/200-Batch\\h: 603/938--D.loss:0.3588,G.loss:1.8442\n",
            "Epoch: 197/200-Batch\\h: 604/938--D.loss:0.2830,G.loss:1.4912\n",
            "Epoch: 197/200-Batch\\h: 605/938--D.loss:0.3287,G.loss:1.7442\n",
            "Epoch: 197/200-Batch\\h: 606/938--D.loss:0.2863,G.loss:1.7351\n",
            "Epoch: 197/200-Batch\\h: 607/938--D.loss:0.3505,G.loss:1.8166\n",
            "Epoch: 197/200-Batch\\h: 608/938--D.loss:0.3764,G.loss:1.8766\n",
            "Epoch: 197/200-Batch\\h: 609/938--D.loss:0.3037,G.loss:1.7595\n",
            "Epoch: 197/200-Batch\\h: 610/938--D.loss:0.4010,G.loss:1.5019\n",
            "Epoch: 197/200-Batch\\h: 611/938--D.loss:0.3108,G.loss:1.8347\n",
            "Epoch: 197/200-Batch\\h: 612/938--D.loss:0.2959,G.loss:2.0048\n",
            "Epoch: 197/200-Batch\\h: 613/938--D.loss:0.3697,G.loss:1.6452\n",
            "Epoch: 197/200-Batch\\h: 614/938--D.loss:0.4211,G.loss:1.6615\n",
            "Epoch: 197/200-Batch\\h: 615/938--D.loss:0.4047,G.loss:1.6466\n",
            "Epoch: 197/200-Batch\\h: 616/938--D.loss:0.3844,G.loss:1.4445\n",
            "Epoch: 197/200-Batch\\h: 617/938--D.loss:0.3457,G.loss:1.4462\n",
            "Epoch: 197/200-Batch\\h: 618/938--D.loss:0.3508,G.loss:1.8286\n",
            "Epoch: 197/200-Batch\\h: 619/938--D.loss:0.3712,G.loss:1.8652\n",
            "Epoch: 197/200-Batch\\h: 620/938--D.loss:0.3482,G.loss:1.5236\n",
            "Epoch: 197/200-Batch\\h: 621/938--D.loss:0.2893,G.loss:1.6616\n",
            "Epoch: 197/200-Batch\\h: 622/938--D.loss:0.4165,G.loss:1.7227\n",
            "Epoch: 197/200-Batch\\h: 623/938--D.loss:0.2970,G.loss:1.6627\n",
            "Epoch: 197/200-Batch\\h: 624/938--D.loss:0.3742,G.loss:1.9001\n",
            "Epoch: 197/200-Batch\\h: 625/938--D.loss:0.3331,G.loss:1.6886\n",
            "Epoch: 197/200-Batch\\h: 626/938--D.loss:0.3503,G.loss:1.7145\n",
            "Epoch: 197/200-Batch\\h: 627/938--D.loss:0.3711,G.loss:1.5567\n",
            "Epoch: 197/200-Batch\\h: 628/938--D.loss:0.4060,G.loss:1.6768\n",
            "Epoch: 197/200-Batch\\h: 629/938--D.loss:0.3604,G.loss:1.8021\n",
            "Epoch: 197/200-Batch\\h: 630/938--D.loss:0.2984,G.loss:1.6281\n",
            "Epoch: 197/200-Batch\\h: 631/938--D.loss:0.4296,G.loss:1.5031\n",
            "Epoch: 197/200-Batch\\h: 632/938--D.loss:0.3716,G.loss:1.8419\n",
            "Epoch: 197/200-Batch\\h: 633/938--D.loss:0.3811,G.loss:1.8737\n",
            "Epoch: 197/200-Batch\\h: 634/938--D.loss:0.4600,G.loss:1.6506\n",
            "Epoch: 197/200-Batch\\h: 635/938--D.loss:0.3883,G.loss:1.4231\n",
            "Epoch: 197/200-Batch\\h: 636/938--D.loss:0.3340,G.loss:1.7098\n",
            "Epoch: 197/200-Batch\\h: 637/938--D.loss:0.3690,G.loss:1.5877\n",
            "Epoch: 197/200-Batch\\h: 638/938--D.loss:0.3325,G.loss:1.6207\n",
            "Epoch: 197/200-Batch\\h: 639/938--D.loss:0.3000,G.loss:1.3058\n",
            "Epoch: 197/200-Batch\\h: 640/938--D.loss:0.4583,G.loss:2.2629\n",
            "Epoch: 197/200-Batch\\h: 641/938--D.loss:0.3224,G.loss:1.8084\n",
            "Epoch: 197/200-Batch\\h: 642/938--D.loss:0.3516,G.loss:1.5211\n",
            "Epoch: 197/200-Batch\\h: 643/938--D.loss:0.3395,G.loss:1.6936\n",
            "Epoch: 197/200-Batch\\h: 644/938--D.loss:0.2826,G.loss:1.8355\n",
            "Epoch: 197/200-Batch\\h: 645/938--D.loss:0.3866,G.loss:1.6404\n",
            "Epoch: 197/200-Batch\\h: 646/938--D.loss:0.3981,G.loss:1.6415\n",
            "Epoch: 197/200-Batch\\h: 647/938--D.loss:0.3173,G.loss:1.5513\n",
            "Epoch: 197/200-Batch\\h: 648/938--D.loss:0.3316,G.loss:1.7898\n",
            "Epoch: 197/200-Batch\\h: 649/938--D.loss:0.3547,G.loss:1.6174\n",
            "Epoch: 197/200-Batch\\h: 650/938--D.loss:0.4053,G.loss:1.7841\n",
            "Epoch: 197/200-Batch\\h: 651/938--D.loss:0.3802,G.loss:1.4284\n",
            "Epoch: 197/200-Batch\\h: 652/938--D.loss:0.3967,G.loss:1.5937\n",
            "Epoch: 197/200-Batch\\h: 653/938--D.loss:0.3277,G.loss:1.8910\n",
            "Epoch: 197/200-Batch\\h: 654/938--D.loss:0.3787,G.loss:1.6481\n",
            "Epoch: 197/200-Batch\\h: 655/938--D.loss:0.3596,G.loss:1.4715\n",
            "Epoch: 197/200-Batch\\h: 656/938--D.loss:0.3919,G.loss:1.4674\n",
            "Epoch: 197/200-Batch\\h: 657/938--D.loss:0.4515,G.loss:1.8534\n",
            "Epoch: 197/200-Batch\\h: 658/938--D.loss:0.3159,G.loss:1.3862\n",
            "Epoch: 197/200-Batch\\h: 659/938--D.loss:0.3283,G.loss:1.4193\n",
            "Epoch: 197/200-Batch\\h: 660/938--D.loss:0.2861,G.loss:1.5071\n",
            "Epoch: 197/200-Batch\\h: 661/938--D.loss:0.3023,G.loss:2.0126\n",
            "Epoch: 197/200-Batch\\h: 662/938--D.loss:0.2549,G.loss:1.7747\n",
            "Epoch: 197/200-Batch\\h: 663/938--D.loss:0.4114,G.loss:2.1418\n",
            "Epoch: 197/200-Batch\\h: 664/938--D.loss:0.4073,G.loss:1.6916\n",
            "Epoch: 197/200-Batch\\h: 665/938--D.loss:0.3489,G.loss:1.3283\n",
            "Epoch: 197/200-Batch\\h: 666/938--D.loss:0.2740,G.loss:1.8619\n",
            "Epoch: 197/200-Batch\\h: 667/938--D.loss:0.3877,G.loss:2.4723\n",
            "Epoch: 197/200-Batch\\h: 668/938--D.loss:0.3140,G.loss:1.7530\n",
            "Epoch: 197/200-Batch\\h: 669/938--D.loss:0.4395,G.loss:1.4020\n",
            "Epoch: 197/200-Batch\\h: 670/938--D.loss:0.2874,G.loss:1.5948\n",
            "Epoch: 197/200-Batch\\h: 671/938--D.loss:0.3163,G.loss:1.8899\n",
            "Epoch: 197/200-Batch\\h: 672/938--D.loss:0.3136,G.loss:1.9897\n",
            "Epoch: 197/200-Batch\\h: 673/938--D.loss:0.4282,G.loss:1.9147\n",
            "Epoch: 197/200-Batch\\h: 674/938--D.loss:0.3348,G.loss:1.5224\n",
            "Epoch: 197/200-Batch\\h: 675/938--D.loss:0.3360,G.loss:1.6666\n",
            "Epoch: 197/200-Batch\\h: 676/938--D.loss:0.3913,G.loss:1.4271\n",
            "Epoch: 197/200-Batch\\h: 677/938--D.loss:0.3601,G.loss:1.8777\n",
            "Epoch: 197/200-Batch\\h: 678/938--D.loss:0.3272,G.loss:1.7003\n",
            "Epoch: 197/200-Batch\\h: 679/938--D.loss:0.3694,G.loss:1.6377\n",
            "Epoch: 197/200-Batch\\h: 680/938--D.loss:0.3463,G.loss:1.6817\n",
            "Epoch: 197/200-Batch\\h: 681/938--D.loss:0.4432,G.loss:1.5712\n",
            "Epoch: 197/200-Batch\\h: 682/938--D.loss:0.3103,G.loss:1.6968\n",
            "Epoch: 197/200-Batch\\h: 683/938--D.loss:0.4157,G.loss:1.7872\n",
            "Epoch: 197/200-Batch\\h: 684/938--D.loss:0.3653,G.loss:1.5375\n",
            "Epoch: 197/200-Batch\\h: 685/938--D.loss:0.4077,G.loss:1.3289\n",
            "Epoch: 197/200-Batch\\h: 686/938--D.loss:0.3993,G.loss:1.9237\n",
            "Epoch: 197/200-Batch\\h: 687/938--D.loss:0.2821,G.loss:1.6290\n",
            "Epoch: 197/200-Batch\\h: 688/938--D.loss:0.3314,G.loss:1.7531\n",
            "Epoch: 197/200-Batch\\h: 689/938--D.loss:0.3362,G.loss:1.7202\n",
            "Epoch: 197/200-Batch\\h: 690/938--D.loss:0.3597,G.loss:1.5213\n",
            "Epoch: 197/200-Batch\\h: 691/938--D.loss:0.3277,G.loss:1.7034\n",
            "Epoch: 197/200-Batch\\h: 692/938--D.loss:0.3796,G.loss:1.8412\n",
            "Epoch: 197/200-Batch\\h: 693/938--D.loss:0.3893,G.loss:1.3415\n",
            "Epoch: 197/200-Batch\\h: 694/938--D.loss:0.3869,G.loss:1.5416\n",
            "Epoch: 197/200-Batch\\h: 695/938--D.loss:0.3785,G.loss:1.5564\n",
            "Epoch: 197/200-Batch\\h: 696/938--D.loss:0.3088,G.loss:1.6209\n",
            "Epoch: 197/200-Batch\\h: 697/938--D.loss:0.3288,G.loss:1.6687\n",
            "Epoch: 197/200-Batch\\h: 698/938--D.loss:0.3592,G.loss:1.4605\n",
            "Epoch: 197/200-Batch\\h: 699/938--D.loss:0.3872,G.loss:1.6802\n",
            "Epoch: 197/200-Batch\\h: 700/938--D.loss:0.4155,G.loss:1.7275\n",
            "Epoch: 197/200-Batch\\h: 701/938--D.loss:0.4321,G.loss:1.5781\n",
            "Epoch: 197/200-Batch\\h: 702/938--D.loss:0.3816,G.loss:1.5829\n",
            "Epoch: 197/200-Batch\\h: 703/938--D.loss:0.3271,G.loss:1.2612\n",
            "Epoch: 197/200-Batch\\h: 704/938--D.loss:0.3500,G.loss:1.9946\n",
            "Epoch: 197/200-Batch\\h: 705/938--D.loss:0.3552,G.loss:1.6902\n",
            "Epoch: 197/200-Batch\\h: 706/938--D.loss:0.3890,G.loss:1.5858\n",
            "Epoch: 197/200-Batch\\h: 707/938--D.loss:0.3581,G.loss:1.4441\n",
            "Epoch: 197/200-Batch\\h: 708/938--D.loss:0.4080,G.loss:1.6941\n",
            "Epoch: 197/200-Batch\\h: 709/938--D.loss:0.3219,G.loss:1.4964\n",
            "Epoch: 197/200-Batch\\h: 710/938--D.loss:0.2805,G.loss:1.9699\n",
            "Epoch: 197/200-Batch\\h: 711/938--D.loss:0.2842,G.loss:1.8904\n",
            "Epoch: 197/200-Batch\\h: 712/938--D.loss:0.3533,G.loss:1.7692\n",
            "Epoch: 197/200-Batch\\h: 713/938--D.loss:0.3475,G.loss:1.6898\n",
            "Epoch: 197/200-Batch\\h: 714/938--D.loss:0.2870,G.loss:1.6435\n",
            "Epoch: 197/200-Batch\\h: 715/938--D.loss:0.2812,G.loss:1.7680\n",
            "Epoch: 197/200-Batch\\h: 716/938--D.loss:0.3340,G.loss:1.7884\n",
            "Epoch: 197/200-Batch\\h: 717/938--D.loss:0.3765,G.loss:1.8043\n",
            "Epoch: 197/200-Batch\\h: 718/938--D.loss:0.3739,G.loss:1.5107\n",
            "Epoch: 197/200-Batch\\h: 719/938--D.loss:0.3599,G.loss:1.4924\n",
            "Epoch: 197/200-Batch\\h: 720/938--D.loss:0.2935,G.loss:2.1137\n",
            "Epoch: 197/200-Batch\\h: 721/938--D.loss:0.3639,G.loss:1.9658\n",
            "Epoch: 197/200-Batch\\h: 722/938--D.loss:0.3665,G.loss:1.7188\n",
            "Epoch: 197/200-Batch\\h: 723/938--D.loss:0.2999,G.loss:1.4531\n",
            "Epoch: 197/200-Batch\\h: 724/938--D.loss:0.3221,G.loss:1.8577\n",
            "Epoch: 197/200-Batch\\h: 725/938--D.loss:0.4313,G.loss:1.6430\n",
            "Epoch: 197/200-Batch\\h: 726/938--D.loss:0.3342,G.loss:1.3387\n",
            "Epoch: 197/200-Batch\\h: 727/938--D.loss:0.3217,G.loss:1.9135\n",
            "Epoch: 197/200-Batch\\h: 728/938--D.loss:0.3783,G.loss:1.7684\n",
            "Epoch: 197/200-Batch\\h: 729/938--D.loss:0.3642,G.loss:1.6974\n",
            "Epoch: 197/200-Batch\\h: 730/938--D.loss:0.3512,G.loss:1.2341\n",
            "Epoch: 197/200-Batch\\h: 731/938--D.loss:0.3179,G.loss:1.9246\n",
            "Epoch: 197/200-Batch\\h: 732/938--D.loss:0.3350,G.loss:1.7774\n",
            "Epoch: 197/200-Batch\\h: 733/938--D.loss:0.3113,G.loss:1.5568\n",
            "Epoch: 197/200-Batch\\h: 734/938--D.loss:0.4164,G.loss:2.1465\n",
            "Epoch: 197/200-Batch\\h: 735/938--D.loss:0.2966,G.loss:1.5679\n",
            "Epoch: 197/200-Batch\\h: 736/938--D.loss:0.4125,G.loss:1.5673\n",
            "Epoch: 197/200-Batch\\h: 737/938--D.loss:0.4382,G.loss:1.6960\n",
            "Epoch: 197/200-Batch\\h: 738/938--D.loss:0.3325,G.loss:1.6339\n",
            "Epoch: 197/200-Batch\\h: 739/938--D.loss:0.3645,G.loss:1.7064\n",
            "Epoch: 197/200-Batch\\h: 740/938--D.loss:0.4396,G.loss:1.5918\n",
            "Epoch: 197/200-Batch\\h: 741/938--D.loss:0.4532,G.loss:1.3752\n",
            "Epoch: 197/200-Batch\\h: 742/938--D.loss:0.4024,G.loss:1.4205\n",
            "Epoch: 197/200-Batch\\h: 743/938--D.loss:0.2899,G.loss:1.8465\n",
            "Epoch: 197/200-Batch\\h: 744/938--D.loss:0.2628,G.loss:1.9321\n",
            "Epoch: 197/200-Batch\\h: 745/938--D.loss:0.3666,G.loss:1.7230\n",
            "Epoch: 197/200-Batch\\h: 746/938--D.loss:0.3447,G.loss:1.6715\n",
            "Epoch: 197/200-Batch\\h: 747/938--D.loss:0.3093,G.loss:1.5911\n",
            "Epoch: 197/200-Batch\\h: 748/938--D.loss:0.4184,G.loss:1.8947\n",
            "Epoch: 197/200-Batch\\h: 749/938--D.loss:0.3512,G.loss:1.5269\n",
            "Epoch: 197/200-Batch\\h: 750/938--D.loss:0.2928,G.loss:1.8414\n",
            "Epoch: 197/200-Batch\\h: 751/938--D.loss:0.3664,G.loss:1.6545\n",
            "Epoch: 197/200-Batch\\h: 752/938--D.loss:0.2632,G.loss:1.5768\n",
            "Epoch: 197/200-Batch\\h: 753/938--D.loss:0.2923,G.loss:1.9539\n",
            "Epoch: 197/200-Batch\\h: 754/938--D.loss:0.3705,G.loss:1.7766\n",
            "Epoch: 197/200-Batch\\h: 755/938--D.loss:0.3361,G.loss:2.0071\n",
            "Epoch: 197/200-Batch\\h: 756/938--D.loss:0.3425,G.loss:1.5084\n",
            "Epoch: 197/200-Batch\\h: 757/938--D.loss:0.3452,G.loss:1.6917\n",
            "Epoch: 197/200-Batch\\h: 758/938--D.loss:0.3976,G.loss:1.8814\n",
            "Epoch: 197/200-Batch\\h: 759/938--D.loss:0.3431,G.loss:1.6943\n",
            "Epoch: 197/200-Batch\\h: 760/938--D.loss:0.3335,G.loss:1.6650\n",
            "Epoch: 197/200-Batch\\h: 761/938--D.loss:0.3627,G.loss:2.1679\n",
            "Epoch: 197/200-Batch\\h: 762/938--D.loss:0.3201,G.loss:1.6429\n",
            "Epoch: 197/200-Batch\\h: 763/938--D.loss:0.3623,G.loss:1.6971\n",
            "Epoch: 197/200-Batch\\h: 764/938--D.loss:0.4112,G.loss:1.7685\n",
            "Epoch: 197/200-Batch\\h: 765/938--D.loss:0.3853,G.loss:1.4390\n",
            "Epoch: 197/200-Batch\\h: 766/938--D.loss:0.3349,G.loss:1.5487\n",
            "Epoch: 197/200-Batch\\h: 767/938--D.loss:0.3115,G.loss:1.6673\n",
            "Epoch: 197/200-Batch\\h: 768/938--D.loss:0.3211,G.loss:1.6447\n",
            "Epoch: 197/200-Batch\\h: 769/938--D.loss:0.2872,G.loss:1.8616\n",
            "Epoch: 197/200-Batch\\h: 770/938--D.loss:0.3906,G.loss:1.7610\n",
            "Epoch: 197/200-Batch\\h: 771/938--D.loss:0.3095,G.loss:1.6002\n",
            "Epoch: 197/200-Batch\\h: 772/938--D.loss:0.2887,G.loss:1.6807\n",
            "Epoch: 197/200-Batch\\h: 773/938--D.loss:0.3316,G.loss:1.9785\n",
            "Epoch: 197/200-Batch\\h: 774/938--D.loss:0.3629,G.loss:1.8095\n",
            "Epoch: 197/200-Batch\\h: 775/938--D.loss:0.3889,G.loss:1.4779\n",
            "Epoch: 197/200-Batch\\h: 776/938--D.loss:0.3780,G.loss:1.8629\n",
            "Epoch: 197/200-Batch\\h: 777/938--D.loss:0.4386,G.loss:1.5284\n",
            "Epoch: 197/200-Batch\\h: 778/938--D.loss:0.3254,G.loss:1.7497\n",
            "Epoch: 197/200-Batch\\h: 779/938--D.loss:0.3456,G.loss:1.5849\n",
            "Epoch: 197/200-Batch\\h: 780/938--D.loss:0.3814,G.loss:1.5564\n",
            "Epoch: 197/200-Batch\\h: 781/938--D.loss:0.3954,G.loss:1.2777\n",
            "Epoch: 197/200-Batch\\h: 782/938--D.loss:0.3422,G.loss:1.4286\n",
            "Epoch: 197/200-Batch\\h: 783/938--D.loss:0.3552,G.loss:1.7429\n",
            "Epoch: 197/200-Batch\\h: 784/938--D.loss:0.3472,G.loss:1.4253\n",
            "Epoch: 197/200-Batch\\h: 785/938--D.loss:0.4230,G.loss:2.0043\n",
            "Epoch: 197/200-Batch\\h: 786/938--D.loss:0.3459,G.loss:1.3848\n",
            "Epoch: 197/200-Batch\\h: 787/938--D.loss:0.4008,G.loss:1.8536\n",
            "Epoch: 197/200-Batch\\h: 788/938--D.loss:0.3256,G.loss:1.7074\n",
            "Epoch: 197/200-Batch\\h: 789/938--D.loss:0.3645,G.loss:1.3569\n",
            "Epoch: 197/200-Batch\\h: 790/938--D.loss:0.3841,G.loss:1.5787\n",
            "Epoch: 197/200-Batch\\h: 791/938--D.loss:0.3129,G.loss:1.8385\n",
            "Epoch: 197/200-Batch\\h: 792/938--D.loss:0.3254,G.loss:1.7329\n",
            "Epoch: 197/200-Batch\\h: 793/938--D.loss:0.3850,G.loss:1.5106\n",
            "Epoch: 197/200-Batch\\h: 794/938--D.loss:0.3339,G.loss:1.4086\n",
            "Epoch: 197/200-Batch\\h: 795/938--D.loss:0.3038,G.loss:1.5408\n",
            "Epoch: 197/200-Batch\\h: 796/938--D.loss:0.3370,G.loss:1.9141\n",
            "Epoch: 197/200-Batch\\h: 797/938--D.loss:0.3894,G.loss:1.8835\n",
            "Epoch: 197/200-Batch\\h: 798/938--D.loss:0.3647,G.loss:1.8679\n",
            "Epoch: 197/200-Batch\\h: 799/938--D.loss:0.3610,G.loss:1.6521\n",
            "Epoch: 197/200-Batch\\h: 800/938--D.loss:0.3514,G.loss:1.7070\n",
            "Epoch: 197/200-Batch\\h: 801/938--D.loss:0.3859,G.loss:1.8407\n",
            "Epoch: 197/200-Batch\\h: 802/938--D.loss:0.3262,G.loss:1.7710\n",
            "Epoch: 197/200-Batch\\h: 803/938--D.loss:0.3685,G.loss:1.6396\n",
            "Epoch: 197/200-Batch\\h: 804/938--D.loss:0.3919,G.loss:1.5538\n",
            "Epoch: 197/200-Batch\\h: 805/938--D.loss:0.3781,G.loss:1.6071\n",
            "Epoch: 197/200-Batch\\h: 806/938--D.loss:0.3219,G.loss:1.5042\n",
            "Epoch: 197/200-Batch\\h: 807/938--D.loss:0.4167,G.loss:1.7612\n",
            "Epoch: 197/200-Batch\\h: 808/938--D.loss:0.3763,G.loss:1.6561\n",
            "Epoch: 197/200-Batch\\h: 809/938--D.loss:0.3492,G.loss:1.3402\n",
            "Epoch: 197/200-Batch\\h: 810/938--D.loss:0.3186,G.loss:1.8272\n",
            "Epoch: 197/200-Batch\\h: 811/938--D.loss:0.3062,G.loss:1.9174\n",
            "Epoch: 197/200-Batch\\h: 812/938--D.loss:0.3722,G.loss:1.9028\n",
            "Epoch: 197/200-Batch\\h: 813/938--D.loss:0.3717,G.loss:1.8533\n",
            "Epoch: 197/200-Batch\\h: 814/938--D.loss:0.3712,G.loss:1.6951\n",
            "Epoch: 197/200-Batch\\h: 815/938--D.loss:0.3573,G.loss:1.7025\n",
            "Epoch: 197/200-Batch\\h: 816/938--D.loss:0.4231,G.loss:1.3039\n",
            "Epoch: 197/200-Batch\\h: 817/938--D.loss:0.3098,G.loss:1.7116\n",
            "Epoch: 197/200-Batch\\h: 818/938--D.loss:0.2971,G.loss:1.6787\n",
            "Epoch: 197/200-Batch\\h: 819/938--D.loss:0.3973,G.loss:1.6234\n",
            "Epoch: 197/200-Batch\\h: 820/938--D.loss:0.2826,G.loss:1.8849\n",
            "Epoch: 197/200-Batch\\h: 821/938--D.loss:0.3606,G.loss:1.6718\n",
            "Epoch: 197/200-Batch\\h: 822/938--D.loss:0.3586,G.loss:1.6634\n",
            "Epoch: 197/200-Batch\\h: 823/938--D.loss:0.3982,G.loss:1.6535\n",
            "Epoch: 197/200-Batch\\h: 824/938--D.loss:0.4512,G.loss:1.4926\n",
            "Epoch: 197/200-Batch\\h: 825/938--D.loss:0.4014,G.loss:1.5401\n",
            "Epoch: 197/200-Batch\\h: 826/938--D.loss:0.3913,G.loss:1.9514\n",
            "Epoch: 197/200-Batch\\h: 827/938--D.loss:0.3805,G.loss:1.3680\n",
            "Epoch: 197/200-Batch\\h: 828/938--D.loss:0.3841,G.loss:1.3770\n",
            "Epoch: 197/200-Batch\\h: 829/938--D.loss:0.4003,G.loss:1.9018\n",
            "Epoch: 197/200-Batch\\h: 830/938--D.loss:0.2928,G.loss:1.8807\n",
            "Epoch: 197/200-Batch\\h: 831/938--D.loss:0.2533,G.loss:1.8164\n",
            "Epoch: 197/200-Batch\\h: 832/938--D.loss:0.3296,G.loss:1.8367\n",
            "Epoch: 197/200-Batch\\h: 833/938--D.loss:0.4615,G.loss:1.4334\n",
            "Epoch: 197/200-Batch\\h: 834/938--D.loss:0.3377,G.loss:1.5320\n",
            "Epoch: 197/200-Batch\\h: 835/938--D.loss:0.3578,G.loss:1.8801\n",
            "Epoch: 197/200-Batch\\h: 836/938--D.loss:0.4253,G.loss:2.0427\n",
            "Epoch: 197/200-Batch\\h: 837/938--D.loss:0.3872,G.loss:1.5808\n",
            "Epoch: 197/200-Batch\\h: 838/938--D.loss:0.3493,G.loss:1.2715\n",
            "Epoch: 197/200-Batch\\h: 839/938--D.loss:0.4002,G.loss:1.8266\n",
            "Epoch: 197/200-Batch\\h: 840/938--D.loss:0.3382,G.loss:1.7238\n",
            "Epoch: 197/200-Batch\\h: 841/938--D.loss:0.3124,G.loss:1.6742\n",
            "Epoch: 197/200-Batch\\h: 842/938--D.loss:0.3262,G.loss:1.5338\n",
            "Epoch: 197/200-Batch\\h: 843/938--D.loss:0.3930,G.loss:1.8193\n",
            "Epoch: 197/200-Batch\\h: 844/938--D.loss:0.3116,G.loss:1.3893\n",
            "Epoch: 197/200-Batch\\h: 845/938--D.loss:0.3459,G.loss:2.0409\n",
            "Epoch: 197/200-Batch\\h: 846/938--D.loss:0.3978,G.loss:1.9309\n",
            "Epoch: 197/200-Batch\\h: 847/938--D.loss:0.3578,G.loss:1.4179\n",
            "Epoch: 197/200-Batch\\h: 848/938--D.loss:0.3356,G.loss:1.4628\n",
            "Epoch: 197/200-Batch\\h: 849/938--D.loss:0.4257,G.loss:1.9541\n",
            "Epoch: 197/200-Batch\\h: 850/938--D.loss:0.3677,G.loss:1.5071\n",
            "Epoch: 197/200-Batch\\h: 851/938--D.loss:0.3681,G.loss:1.5491\n",
            "Epoch: 197/200-Batch\\h: 852/938--D.loss:0.3705,G.loss:1.2495\n",
            "Epoch: 197/200-Batch\\h: 853/938--D.loss:0.3300,G.loss:1.6481\n",
            "Epoch: 197/200-Batch\\h: 854/938--D.loss:0.2854,G.loss:1.6963\n",
            "Epoch: 197/200-Batch\\h: 855/938--D.loss:0.2905,G.loss:2.0076\n",
            "Epoch: 197/200-Batch\\h: 856/938--D.loss:0.3642,G.loss:1.8001\n",
            "Epoch: 197/200-Batch\\h: 857/938--D.loss:0.3981,G.loss:1.7517\n",
            "Epoch: 197/200-Batch\\h: 858/938--D.loss:0.2934,G.loss:1.6719\n",
            "Epoch: 197/200-Batch\\h: 859/938--D.loss:0.3038,G.loss:1.7320\n",
            "Epoch: 197/200-Batch\\h: 860/938--D.loss:0.3594,G.loss:2.0895\n",
            "Epoch: 197/200-Batch\\h: 861/938--D.loss:0.3710,G.loss:1.6383\n",
            "Epoch: 197/200-Batch\\h: 862/938--D.loss:0.2822,G.loss:1.7398\n",
            "Epoch: 197/200-Batch\\h: 863/938--D.loss:0.3292,G.loss:1.5828\n",
            "Epoch: 197/200-Batch\\h: 864/938--D.loss:0.3420,G.loss:1.7744\n",
            "Epoch: 197/200-Batch\\h: 865/938--D.loss:0.3221,G.loss:1.6539\n",
            "Epoch: 197/200-Batch\\h: 866/938--D.loss:0.3600,G.loss:1.5719\n",
            "Epoch: 197/200-Batch\\h: 867/938--D.loss:0.3795,G.loss:1.9127\n",
            "Epoch: 197/200-Batch\\h: 868/938--D.loss:0.3485,G.loss:1.7132\n",
            "Epoch: 197/200-Batch\\h: 869/938--D.loss:0.2837,G.loss:1.7623\n",
            "Epoch: 197/200-Batch\\h: 870/938--D.loss:0.3262,G.loss:1.8080\n",
            "Epoch: 197/200-Batch\\h: 871/938--D.loss:0.4159,G.loss:1.9721\n",
            "Epoch: 197/200-Batch\\h: 872/938--D.loss:0.3057,G.loss:1.4799\n",
            "Epoch: 197/200-Batch\\h: 873/938--D.loss:0.3352,G.loss:1.7364\n",
            "Epoch: 197/200-Batch\\h: 874/938--D.loss:0.3607,G.loss:1.7739\n",
            "Epoch: 197/200-Batch\\h: 875/938--D.loss:0.3685,G.loss:1.6942\n",
            "Epoch: 197/200-Batch\\h: 876/938--D.loss:0.3130,G.loss:1.4590\n",
            "Epoch: 197/200-Batch\\h: 877/938--D.loss:0.4267,G.loss:2.0791\n",
            "Epoch: 197/200-Batch\\h: 878/938--D.loss:0.4272,G.loss:2.0118\n",
            "Epoch: 197/200-Batch\\h: 879/938--D.loss:0.4503,G.loss:1.1351\n",
            "Epoch: 197/200-Batch\\h: 880/938--D.loss:0.4009,G.loss:1.6327\n",
            "Epoch: 197/200-Batch\\h: 881/938--D.loss:0.4325,G.loss:1.7134\n",
            "Epoch: 197/200-Batch\\h: 882/938--D.loss:0.3890,G.loss:1.3643\n",
            "Epoch: 197/200-Batch\\h: 883/938--D.loss:0.3087,G.loss:1.8040\n",
            "Epoch: 197/200-Batch\\h: 884/938--D.loss:0.4016,G.loss:1.7277\n",
            "Epoch: 197/200-Batch\\h: 885/938--D.loss:0.3792,G.loss:1.6120\n",
            "Epoch: 197/200-Batch\\h: 886/938--D.loss:0.4322,G.loss:1.4447\n",
            "Epoch: 197/200-Batch\\h: 887/938--D.loss:0.3432,G.loss:1.8508\n",
            "Epoch: 197/200-Batch\\h: 888/938--D.loss:0.2909,G.loss:2.1346\n",
            "Epoch: 197/200-Batch\\h: 889/938--D.loss:0.3969,G.loss:1.4052\n",
            "Epoch: 197/200-Batch\\h: 890/938--D.loss:0.3451,G.loss:1.7993\n",
            "Epoch: 197/200-Batch\\h: 891/938--D.loss:0.3859,G.loss:1.5808\n",
            "Epoch: 197/200-Batch\\h: 892/938--D.loss:0.5069,G.loss:2.1348\n",
            "Epoch: 197/200-Batch\\h: 893/938--D.loss:0.4038,G.loss:1.3279\n",
            "Epoch: 197/200-Batch\\h: 894/938--D.loss:0.3103,G.loss:1.6013\n",
            "Epoch: 197/200-Batch\\h: 895/938--D.loss:0.4148,G.loss:1.7874\n",
            "Epoch: 197/200-Batch\\h: 896/938--D.loss:0.4168,G.loss:1.8961\n",
            "Epoch: 197/200-Batch\\h: 897/938--D.loss:0.3140,G.loss:1.3711\n",
            "Epoch: 197/200-Batch\\h: 898/938--D.loss:0.3725,G.loss:1.6862\n",
            "Epoch: 197/200-Batch\\h: 899/938--D.loss:0.4154,G.loss:1.6345\n",
            "Epoch: 197/200-Batch\\h: 900/938--D.loss:0.2933,G.loss:1.6972\n",
            "Epoch: 197/200-Batch\\h: 901/938--D.loss:0.3402,G.loss:1.8862\n",
            "Epoch: 197/200-Batch\\h: 902/938--D.loss:0.4293,G.loss:1.3937\n",
            "Epoch: 197/200-Batch\\h: 903/938--D.loss:0.3779,G.loss:1.7299\n",
            "Epoch: 197/200-Batch\\h: 904/938--D.loss:0.3773,G.loss:1.5041\n",
            "Epoch: 197/200-Batch\\h: 905/938--D.loss:0.3934,G.loss:1.5416\n",
            "Epoch: 197/200-Batch\\h: 906/938--D.loss:0.3116,G.loss:1.7941\n",
            "Epoch: 197/200-Batch\\h: 907/938--D.loss:0.4082,G.loss:1.8404\n",
            "Epoch: 197/200-Batch\\h: 908/938--D.loss:0.4786,G.loss:1.2414\n",
            "Epoch: 197/200-Batch\\h: 909/938--D.loss:0.2802,G.loss:1.5744\n",
            "Epoch: 197/200-Batch\\h: 910/938--D.loss:0.3819,G.loss:1.7650\n",
            "Epoch: 197/200-Batch\\h: 911/938--D.loss:0.2956,G.loss:1.6109\n",
            "Epoch: 197/200-Batch\\h: 912/938--D.loss:0.3812,G.loss:1.5669\n",
            "Epoch: 197/200-Batch\\h: 913/938--D.loss:0.3720,G.loss:1.9972\n",
            "Epoch: 197/200-Batch\\h: 914/938--D.loss:0.3894,G.loss:1.6808\n",
            "Epoch: 197/200-Batch\\h: 915/938--D.loss:0.3373,G.loss:1.8289\n",
            "Epoch: 197/200-Batch\\h: 916/938--D.loss:0.3617,G.loss:1.6510\n",
            "Epoch: 197/200-Batch\\h: 917/938--D.loss:0.3895,G.loss:1.8345\n",
            "Epoch: 197/200-Batch\\h: 918/938--D.loss:0.3600,G.loss:1.7356\n",
            "Epoch: 197/200-Batch\\h: 919/938--D.loss:0.3822,G.loss:1.5412\n",
            "Epoch: 197/200-Batch\\h: 920/938--D.loss:0.4020,G.loss:1.6072\n",
            "Epoch: 197/200-Batch\\h: 921/938--D.loss:0.3251,G.loss:1.8737\n",
            "Epoch: 197/200-Batch\\h: 922/938--D.loss:0.3382,G.loss:1.6094\n",
            "Epoch: 197/200-Batch\\h: 923/938--D.loss:0.3502,G.loss:1.4620\n",
            "Epoch: 197/200-Batch\\h: 924/938--D.loss:0.3546,G.loss:1.5377\n",
            "Epoch: 197/200-Batch\\h: 925/938--D.loss:0.3286,G.loss:2.1227\n",
            "Epoch: 197/200-Batch\\h: 926/938--D.loss:0.4039,G.loss:1.5759\n",
            "Epoch: 197/200-Batch\\h: 927/938--D.loss:0.2721,G.loss:1.9137\n",
            "Epoch: 197/200-Batch\\h: 928/938--D.loss:0.3227,G.loss:1.7007\n",
            "Epoch: 197/200-Batch\\h: 929/938--D.loss:0.4171,G.loss:2.0715\n",
            "Epoch: 197/200-Batch\\h: 930/938--D.loss:0.4185,G.loss:1.4670\n",
            "Epoch: 197/200-Batch\\h: 931/938--D.loss:0.3571,G.loss:1.4439\n",
            "Epoch: 197/200-Batch\\h: 932/938--D.loss:0.3228,G.loss:1.5055\n",
            "Epoch: 197/200-Batch\\h: 933/938--D.loss:0.3661,G.loss:1.6201\n",
            "Epoch: 197/200-Batch\\h: 934/938--D.loss:0.3372,G.loss:1.9210\n",
            "Epoch: 197/200-Batch\\h: 935/938--D.loss:0.2949,G.loss:1.7670\n",
            "Epoch: 197/200-Batch\\h: 936/938--D.loss:0.3261,G.loss:1.5260\n",
            "Epoch: 197/200-Batch\\h: 937/938--D.loss:0.4225,G.loss:1.7869\n",
            "Epoch: 198/200-Batch\\h: 0/938--D.loss:0.3247,G.loss:1.4657\n",
            "Epoch: 198/200-Batch\\h: 1/938--D.loss:0.3297,G.loss:1.9398\n",
            "Epoch: 198/200-Batch\\h: 2/938--D.loss:0.4256,G.loss:1.5347\n",
            "Epoch: 198/200-Batch\\h: 3/938--D.loss:0.3365,G.loss:1.3328\n",
            "Epoch: 198/200-Batch\\h: 4/938--D.loss:0.3589,G.loss:1.8234\n",
            "Epoch: 198/200-Batch\\h: 5/938--D.loss:0.3760,G.loss:1.8663\n",
            "Epoch: 198/200-Batch\\h: 6/938--D.loss:0.3876,G.loss:1.3348\n",
            "Epoch: 198/200-Batch\\h: 7/938--D.loss:0.3253,G.loss:1.4804\n",
            "Epoch: 198/200-Batch\\h: 8/938--D.loss:0.3829,G.loss:1.9386\n",
            "Epoch: 198/200-Batch\\h: 9/938--D.loss:0.2977,G.loss:1.5606\n",
            "Epoch: 198/200-Batch\\h: 10/938--D.loss:0.3309,G.loss:1.9730\n",
            "Epoch: 198/200-Batch\\h: 11/938--D.loss:0.3594,G.loss:1.6121\n",
            "Epoch: 198/200-Batch\\h: 12/938--D.loss:0.4261,G.loss:1.8370\n",
            "Epoch: 198/200-Batch\\h: 13/938--D.loss:0.3549,G.loss:1.4076\n",
            "Epoch: 198/200-Batch\\h: 14/938--D.loss:0.3505,G.loss:1.6039\n",
            "Epoch: 198/200-Batch\\h: 15/938--D.loss:0.3145,G.loss:1.9334\n",
            "Epoch: 198/200-Batch\\h: 16/938--D.loss:0.3766,G.loss:1.5453\n",
            "Epoch: 198/200-Batch\\h: 17/938--D.loss:0.2465,G.loss:1.5659\n",
            "Epoch: 198/200-Batch\\h: 18/938--D.loss:0.3805,G.loss:1.9321\n",
            "Epoch: 198/200-Batch\\h: 19/938--D.loss:0.3322,G.loss:1.6749\n",
            "Epoch: 198/200-Batch\\h: 20/938--D.loss:0.3678,G.loss:1.8743\n",
            "Epoch: 198/200-Batch\\h: 21/938--D.loss:0.3130,G.loss:2.0158\n",
            "Epoch: 198/200-Batch\\h: 22/938--D.loss:0.3828,G.loss:1.6272\n",
            "Epoch: 198/200-Batch\\h: 23/938--D.loss:0.3287,G.loss:1.3906\n",
            "Epoch: 198/200-Batch\\h: 24/938--D.loss:0.3523,G.loss:1.5461\n",
            "Epoch: 198/200-Batch\\h: 25/938--D.loss:0.4278,G.loss:2.0004\n",
            "Epoch: 198/200-Batch\\h: 26/938--D.loss:0.3780,G.loss:1.2831\n",
            "Epoch: 198/200-Batch\\h: 27/938--D.loss:0.4580,G.loss:1.8113\n",
            "Epoch: 198/200-Batch\\h: 28/938--D.loss:0.3400,G.loss:1.4688\n",
            "Epoch: 198/200-Batch\\h: 29/938--D.loss:0.3325,G.loss:1.7845\n",
            "Epoch: 198/200-Batch\\h: 30/938--D.loss:0.3618,G.loss:1.9372\n",
            "Epoch: 198/200-Batch\\h: 31/938--D.loss:0.3401,G.loss:1.5524\n",
            "Epoch: 198/200-Batch\\h: 32/938--D.loss:0.3137,G.loss:1.6462\n",
            "Epoch: 198/200-Batch\\h: 33/938--D.loss:0.3115,G.loss:1.5959\n",
            "Epoch: 198/200-Batch\\h: 34/938--D.loss:0.3863,G.loss:2.0396\n",
            "Epoch: 198/200-Batch\\h: 35/938--D.loss:0.3682,G.loss:1.5324\n",
            "Epoch: 198/200-Batch\\h: 36/938--D.loss:0.3752,G.loss:1.7282\n",
            "Epoch: 198/200-Batch\\h: 37/938--D.loss:0.3701,G.loss:1.5119\n",
            "Epoch: 198/200-Batch\\h: 38/938--D.loss:0.2918,G.loss:1.6848\n",
            "Epoch: 198/200-Batch\\h: 39/938--D.loss:0.3234,G.loss:1.6788\n",
            "Epoch: 198/200-Batch\\h: 40/938--D.loss:0.2273,G.loss:1.9983\n",
            "Epoch: 198/200-Batch\\h: 41/938--D.loss:0.3784,G.loss:1.9265\n",
            "Epoch: 198/200-Batch\\h: 42/938--D.loss:0.4065,G.loss:1.8674\n",
            "Epoch: 198/200-Batch\\h: 43/938--D.loss:0.3267,G.loss:1.6637\n",
            "Epoch: 198/200-Batch\\h: 44/938--D.loss:0.4216,G.loss:1.4157\n",
            "Epoch: 198/200-Batch\\h: 45/938--D.loss:0.3362,G.loss:1.3097\n",
            "Epoch: 198/200-Batch\\h: 46/938--D.loss:0.4045,G.loss:1.6100\n",
            "Epoch: 198/200-Batch\\h: 47/938--D.loss:0.2955,G.loss:1.9998\n",
            "Epoch: 198/200-Batch\\h: 48/938--D.loss:0.3907,G.loss:2.2198\n",
            "Epoch: 198/200-Batch\\h: 49/938--D.loss:0.3579,G.loss:1.3416\n",
            "Epoch: 198/200-Batch\\h: 50/938--D.loss:0.4454,G.loss:1.1661\n",
            "Epoch: 198/200-Batch\\h: 51/938--D.loss:0.4388,G.loss:1.8683\n",
            "Epoch: 198/200-Batch\\h: 52/938--D.loss:0.3829,G.loss:1.4220\n",
            "Epoch: 198/200-Batch\\h: 53/938--D.loss:0.3310,G.loss:1.6750\n",
            "Epoch: 198/200-Batch\\h: 54/938--D.loss:0.2592,G.loss:1.8385\n",
            "Epoch: 198/200-Batch\\h: 55/938--D.loss:0.4062,G.loss:2.0200\n",
            "Epoch: 198/200-Batch\\h: 56/938--D.loss:0.3291,G.loss:1.7201\n",
            "Epoch: 198/200-Batch\\h: 57/938--D.loss:0.3294,G.loss:1.5500\n",
            "Epoch: 198/200-Batch\\h: 58/938--D.loss:0.3661,G.loss:2.0312\n",
            "Epoch: 198/200-Batch\\h: 59/938--D.loss:0.3134,G.loss:1.7034\n",
            "Epoch: 198/200-Batch\\h: 60/938--D.loss:0.4156,G.loss:1.8948\n",
            "Epoch: 198/200-Batch\\h: 61/938--D.loss:0.4007,G.loss:1.6200\n",
            "Epoch: 198/200-Batch\\h: 62/938--D.loss:0.3717,G.loss:1.3962\n",
            "Epoch: 198/200-Batch\\h: 63/938--D.loss:0.3339,G.loss:1.6053\n",
            "Epoch: 198/200-Batch\\h: 64/938--D.loss:0.2944,G.loss:1.9908\n",
            "Epoch: 198/200-Batch\\h: 65/938--D.loss:0.3483,G.loss:1.6993\n",
            "Epoch: 198/200-Batch\\h: 66/938--D.loss:0.4063,G.loss:1.4174\n",
            "Epoch: 198/200-Batch\\h: 67/938--D.loss:0.3504,G.loss:1.9241\n",
            "Epoch: 198/200-Batch\\h: 68/938--D.loss:0.3626,G.loss:2.0056\n",
            "Epoch: 198/200-Batch\\h: 69/938--D.loss:0.3542,G.loss:2.2527\n",
            "Epoch: 198/200-Batch\\h: 70/938--D.loss:0.4278,G.loss:1.4318\n",
            "Epoch: 198/200-Batch\\h: 71/938--D.loss:0.3475,G.loss:1.4733\n",
            "Epoch: 198/200-Batch\\h: 72/938--D.loss:0.3807,G.loss:1.6888\n",
            "Epoch: 198/200-Batch\\h: 73/938--D.loss:0.3497,G.loss:1.7392\n",
            "Epoch: 198/200-Batch\\h: 74/938--D.loss:0.2996,G.loss:1.6630\n",
            "Epoch: 198/200-Batch\\h: 75/938--D.loss:0.3307,G.loss:1.5237\n",
            "Epoch: 198/200-Batch\\h: 76/938--D.loss:0.3439,G.loss:1.7823\n",
            "Epoch: 198/200-Batch\\h: 77/938--D.loss:0.3463,G.loss:1.6642\n",
            "Epoch: 198/200-Batch\\h: 78/938--D.loss:0.3414,G.loss:1.7481\n",
            "Epoch: 198/200-Batch\\h: 79/938--D.loss:0.3750,G.loss:1.8291\n",
            "Epoch: 198/200-Batch\\h: 80/938--D.loss:0.3516,G.loss:1.5508\n",
            "Epoch: 198/200-Batch\\h: 81/938--D.loss:0.2794,G.loss:1.6796\n",
            "Epoch: 198/200-Batch\\h: 82/938--D.loss:0.3911,G.loss:1.9682\n",
            "Epoch: 198/200-Batch\\h: 83/938--D.loss:0.3950,G.loss:1.7180\n",
            "Epoch: 198/200-Batch\\h: 84/938--D.loss:0.3644,G.loss:1.2369\n",
            "Epoch: 198/200-Batch\\h: 85/938--D.loss:0.3384,G.loss:1.7027\n",
            "Epoch: 198/200-Batch\\h: 86/938--D.loss:0.4710,G.loss:1.7419\n",
            "Epoch: 198/200-Batch\\h: 87/938--D.loss:0.3411,G.loss:1.6734\n",
            "Epoch: 198/200-Batch\\h: 88/938--D.loss:0.3486,G.loss:1.4618\n",
            "Epoch: 198/200-Batch\\h: 89/938--D.loss:0.3463,G.loss:2.0121\n",
            "Epoch: 198/200-Batch\\h: 90/938--D.loss:0.4682,G.loss:1.8571\n",
            "Epoch: 198/200-Batch\\h: 91/938--D.loss:0.2869,G.loss:1.5408\n",
            "Epoch: 198/200-Batch\\h: 92/938--D.loss:0.4118,G.loss:1.6214\n",
            "Epoch: 198/200-Batch\\h: 93/938--D.loss:0.3585,G.loss:2.0904\n",
            "Epoch: 198/200-Batch\\h: 94/938--D.loss:0.2775,G.loss:1.6902\n",
            "Epoch: 198/200-Batch\\h: 95/938--D.loss:0.2964,G.loss:1.5684\n",
            "Epoch: 198/200-Batch\\h: 96/938--D.loss:0.4363,G.loss:1.7716\n",
            "Epoch: 198/200-Batch\\h: 97/938--D.loss:0.3630,G.loss:1.7820\n",
            "Epoch: 198/200-Batch\\h: 98/938--D.loss:0.3430,G.loss:1.6078\n",
            "Epoch: 198/200-Batch\\h: 99/938--D.loss:0.4001,G.loss:1.4049\n",
            "Epoch: 198/200-Batch\\h: 100/938--D.loss:0.3849,G.loss:1.7428\n",
            "Epoch: 198/200-Batch\\h: 101/938--D.loss:0.3613,G.loss:1.5381\n",
            "Epoch: 198/200-Batch\\h: 102/938--D.loss:0.3863,G.loss:1.6402\n",
            "Epoch: 198/200-Batch\\h: 103/938--D.loss:0.3006,G.loss:1.5724\n",
            "Epoch: 198/200-Batch\\h: 104/938--D.loss:0.3078,G.loss:1.8011\n",
            "Epoch: 198/200-Batch\\h: 105/938--D.loss:0.3939,G.loss:1.8136\n",
            "Epoch: 198/200-Batch\\h: 106/938--D.loss:0.3174,G.loss:1.5991\n",
            "Epoch: 198/200-Batch\\h: 107/938--D.loss:0.3493,G.loss:1.6198\n",
            "Epoch: 198/200-Batch\\h: 108/938--D.loss:0.3826,G.loss:1.6679\n",
            "Epoch: 198/200-Batch\\h: 109/938--D.loss:0.3508,G.loss:2.0225\n",
            "Epoch: 198/200-Batch\\h: 110/938--D.loss:0.3815,G.loss:1.5243\n",
            "Epoch: 198/200-Batch\\h: 111/938--D.loss:0.3867,G.loss:1.7298\n",
            "Epoch: 198/200-Batch\\h: 112/938--D.loss:0.2903,G.loss:1.6540\n",
            "Epoch: 198/200-Batch\\h: 113/938--D.loss:0.2798,G.loss:1.8619\n",
            "Epoch: 198/200-Batch\\h: 114/938--D.loss:0.3302,G.loss:1.8485\n",
            "Epoch: 198/200-Batch\\h: 115/938--D.loss:0.3254,G.loss:1.4978\n",
            "Epoch: 198/200-Batch\\h: 116/938--D.loss:0.3834,G.loss:2.0027\n",
            "Epoch: 198/200-Batch\\h: 117/938--D.loss:0.4077,G.loss:2.0195\n",
            "Epoch: 198/200-Batch\\h: 118/938--D.loss:0.4121,G.loss:1.3668\n",
            "Epoch: 198/200-Batch\\h: 119/938--D.loss:0.3173,G.loss:1.8236\n",
            "Epoch: 198/200-Batch\\h: 120/938--D.loss:0.3705,G.loss:1.6073\n",
            "Epoch: 198/200-Batch\\h: 121/938--D.loss:0.3568,G.loss:1.4032\n",
            "Epoch: 198/200-Batch\\h: 122/938--D.loss:0.3390,G.loss:1.6473\n",
            "Epoch: 198/200-Batch\\h: 123/938--D.loss:0.4158,G.loss:1.9240\n",
            "Epoch: 198/200-Batch\\h: 124/938--D.loss:0.3367,G.loss:1.1962\n",
            "Epoch: 198/200-Batch\\h: 125/938--D.loss:0.3514,G.loss:1.5188\n",
            "Epoch: 198/200-Batch\\h: 126/938--D.loss:0.3033,G.loss:2.1829\n",
            "Epoch: 198/200-Batch\\h: 127/938--D.loss:0.3350,G.loss:1.9985\n",
            "Epoch: 198/200-Batch\\h: 128/938--D.loss:0.3312,G.loss:1.7256\n",
            "Epoch: 198/200-Batch\\h: 129/938--D.loss:0.4354,G.loss:1.8335\n",
            "Epoch: 198/200-Batch\\h: 130/938--D.loss:0.2519,G.loss:1.7672\n",
            "Epoch: 198/200-Batch\\h: 131/938--D.loss:0.4141,G.loss:1.4197\n",
            "Epoch: 198/200-Batch\\h: 132/938--D.loss:0.3882,G.loss:1.7446\n",
            "Epoch: 198/200-Batch\\h: 133/938--D.loss:0.4057,G.loss:1.7465\n",
            "Epoch: 198/200-Batch\\h: 134/938--D.loss:0.3636,G.loss:1.4987\n",
            "Epoch: 198/200-Batch\\h: 135/938--D.loss:0.3075,G.loss:1.6024\n",
            "Epoch: 198/200-Batch\\h: 136/938--D.loss:0.3720,G.loss:1.7308\n",
            "Epoch: 198/200-Batch\\h: 137/938--D.loss:0.3163,G.loss:1.8746\n",
            "Epoch: 198/200-Batch\\h: 138/938--D.loss:0.2836,G.loss:1.8409\n",
            "Epoch: 198/200-Batch\\h: 139/938--D.loss:0.2964,G.loss:1.6482\n",
            "Epoch: 198/200-Batch\\h: 140/938--D.loss:0.3676,G.loss:1.8522\n",
            "Epoch: 198/200-Batch\\h: 141/938--D.loss:0.3236,G.loss:1.7313\n",
            "Epoch: 198/200-Batch\\h: 142/938--D.loss:0.2653,G.loss:1.8549\n",
            "Epoch: 198/200-Batch\\h: 143/938--D.loss:0.3424,G.loss:1.8848\n",
            "Epoch: 198/200-Batch\\h: 144/938--D.loss:0.3608,G.loss:1.5060\n",
            "Epoch: 198/200-Batch\\h: 145/938--D.loss:0.3683,G.loss:1.9382\n",
            "Epoch: 198/200-Batch\\h: 146/938--D.loss:0.3173,G.loss:2.1905\n",
            "Epoch: 198/200-Batch\\h: 147/938--D.loss:0.4004,G.loss:1.9652\n",
            "Epoch: 198/200-Batch\\h: 148/938--D.loss:0.4000,G.loss:1.4312\n",
            "Epoch: 198/200-Batch\\h: 149/938--D.loss:0.3004,G.loss:1.5755\n",
            "Epoch: 198/200-Batch\\h: 150/938--D.loss:0.3769,G.loss:1.9919\n",
            "Epoch: 198/200-Batch\\h: 151/938--D.loss:0.2971,G.loss:1.6753\n",
            "Epoch: 198/200-Batch\\h: 152/938--D.loss:0.4165,G.loss:1.8114\n",
            "Epoch: 198/200-Batch\\h: 153/938--D.loss:0.3293,G.loss:1.5781\n",
            "Epoch: 198/200-Batch\\h: 154/938--D.loss:0.3918,G.loss:1.4806\n",
            "Epoch: 198/200-Batch\\h: 155/938--D.loss:0.3337,G.loss:1.7549\n",
            "Epoch: 198/200-Batch\\h: 156/938--D.loss:0.4541,G.loss:1.6529\n",
            "Epoch: 198/200-Batch\\h: 157/938--D.loss:0.3964,G.loss:1.4536\n",
            "Epoch: 198/200-Batch\\h: 158/938--D.loss:0.3345,G.loss:1.3774\n",
            "Epoch: 198/200-Batch\\h: 159/938--D.loss:0.3479,G.loss:1.7223\n",
            "Epoch: 198/200-Batch\\h: 160/938--D.loss:0.2623,G.loss:1.6832\n",
            "Epoch: 198/200-Batch\\h: 161/938--D.loss:0.3618,G.loss:1.7519\n",
            "Epoch: 198/200-Batch\\h: 162/938--D.loss:0.3642,G.loss:1.9685\n",
            "Epoch: 198/200-Batch\\h: 163/938--D.loss:0.2841,G.loss:1.7745\n",
            "Epoch: 198/200-Batch\\h: 164/938--D.loss:0.3908,G.loss:1.8784\n",
            "Epoch: 198/200-Batch\\h: 165/938--D.loss:0.3628,G.loss:1.9716\n",
            "Epoch: 198/200-Batch\\h: 166/938--D.loss:0.3752,G.loss:1.3624\n",
            "Epoch: 198/200-Batch\\h: 167/938--D.loss:0.3834,G.loss:1.8520\n",
            "Epoch: 198/200-Batch\\h: 168/938--D.loss:0.3335,G.loss:2.1019\n",
            "Epoch: 198/200-Batch\\h: 169/938--D.loss:0.3634,G.loss:1.8309\n",
            "Epoch: 198/200-Batch\\h: 170/938--D.loss:0.2944,G.loss:1.6440\n",
            "Epoch: 198/200-Batch\\h: 171/938--D.loss:0.3204,G.loss:1.7396\n",
            "Epoch: 198/200-Batch\\h: 172/938--D.loss:0.4305,G.loss:1.7489\n",
            "Epoch: 198/200-Batch\\h: 173/938--D.loss:0.3832,G.loss:1.6390\n",
            "Epoch: 198/200-Batch\\h: 174/938--D.loss:0.3852,G.loss:1.5397\n",
            "Epoch: 198/200-Batch\\h: 175/938--D.loss:0.3674,G.loss:1.7095\n",
            "Epoch: 198/200-Batch\\h: 176/938--D.loss:0.3070,G.loss:1.5927\n",
            "Epoch: 198/200-Batch\\h: 177/938--D.loss:0.3331,G.loss:1.6611\n",
            "Epoch: 198/200-Batch\\h: 178/938--D.loss:0.2996,G.loss:1.9942\n",
            "Epoch: 198/200-Batch\\h: 179/938--D.loss:0.4468,G.loss:1.9564\n",
            "Epoch: 198/200-Batch\\h: 180/938--D.loss:0.4101,G.loss:1.5963\n",
            "Epoch: 198/200-Batch\\h: 181/938--D.loss:0.3449,G.loss:1.4033\n",
            "Epoch: 198/200-Batch\\h: 182/938--D.loss:0.3838,G.loss:1.7691\n",
            "Epoch: 198/200-Batch\\h: 183/938--D.loss:0.4367,G.loss:1.8124\n",
            "Epoch: 198/200-Batch\\h: 184/938--D.loss:0.4313,G.loss:1.7227\n",
            "Epoch: 198/200-Batch\\h: 185/938--D.loss:0.3466,G.loss:1.5865\n",
            "Epoch: 198/200-Batch\\h: 186/938--D.loss:0.3502,G.loss:1.4896\n",
            "Epoch: 198/200-Batch\\h: 187/938--D.loss:0.3185,G.loss:1.8820\n",
            "Epoch: 198/200-Batch\\h: 188/938--D.loss:0.3421,G.loss:1.6322\n",
            "Epoch: 198/200-Batch\\h: 189/938--D.loss:0.3517,G.loss:1.8762\n",
            "Epoch: 198/200-Batch\\h: 190/938--D.loss:0.3802,G.loss:1.8534\n",
            "Epoch: 198/200-Batch\\h: 191/938--D.loss:0.4347,G.loss:1.2095\n",
            "Epoch: 198/200-Batch\\h: 192/938--D.loss:0.3690,G.loss:1.8130\n",
            "Epoch: 198/200-Batch\\h: 193/938--D.loss:0.3912,G.loss:1.6616\n",
            "Epoch: 198/200-Batch\\h: 194/938--D.loss:0.4297,G.loss:1.4080\n",
            "Epoch: 198/200-Batch\\h: 195/938--D.loss:0.3935,G.loss:1.4462\n",
            "Epoch: 198/200-Batch\\h: 196/938--D.loss:0.3364,G.loss:1.7985\n",
            "Epoch: 198/200-Batch\\h: 197/938--D.loss:0.4521,G.loss:1.8464\n",
            "Epoch: 198/200-Batch\\h: 198/938--D.loss:0.3965,G.loss:1.3507\n",
            "Epoch: 198/200-Batch\\h: 199/938--D.loss:0.4353,G.loss:2.0433\n",
            "Epoch: 198/200-Batch\\h: 200/938--D.loss:0.3537,G.loss:1.4478\n",
            "Epoch: 198/200-Batch\\h: 201/938--D.loss:0.4410,G.loss:1.4845\n",
            "Epoch: 198/200-Batch\\h: 202/938--D.loss:0.3318,G.loss:1.6489\n",
            "Epoch: 198/200-Batch\\h: 203/938--D.loss:0.3724,G.loss:1.5720\n",
            "Epoch: 198/200-Batch\\h: 204/938--D.loss:0.4021,G.loss:1.3358\n",
            "Epoch: 198/200-Batch\\h: 205/938--D.loss:0.3363,G.loss:1.6015\n",
            "Epoch: 198/200-Batch\\h: 206/938--D.loss:0.4563,G.loss:1.9291\n",
            "Epoch: 198/200-Batch\\h: 207/938--D.loss:0.4302,G.loss:1.2171\n",
            "Epoch: 198/200-Batch\\h: 208/938--D.loss:0.3511,G.loss:1.5927\n",
            "Epoch: 198/200-Batch\\h: 209/938--D.loss:0.4140,G.loss:1.8350\n",
            "Epoch: 198/200-Batch\\h: 210/938--D.loss:0.3957,G.loss:1.3354\n",
            "Epoch: 198/200-Batch\\h: 211/938--D.loss:0.3132,G.loss:1.6799\n",
            "Epoch: 198/200-Batch\\h: 212/938--D.loss:0.2913,G.loss:1.9683\n",
            "Epoch: 198/200-Batch\\h: 213/938--D.loss:0.4157,G.loss:1.5558\n",
            "Epoch: 198/200-Batch\\h: 214/938--D.loss:0.3522,G.loss:1.7223\n",
            "Epoch: 198/200-Batch\\h: 215/938--D.loss:0.3910,G.loss:1.7523\n",
            "Epoch: 198/200-Batch\\h: 216/938--D.loss:0.4049,G.loss:1.5163\n",
            "Epoch: 198/200-Batch\\h: 217/938--D.loss:0.3683,G.loss:1.4981\n",
            "Epoch: 198/200-Batch\\h: 218/938--D.loss:0.3574,G.loss:1.5109\n",
            "Epoch: 198/200-Batch\\h: 219/938--D.loss:0.3417,G.loss:1.4615\n",
            "Epoch: 198/200-Batch\\h: 220/938--D.loss:0.4279,G.loss:1.8434\n",
            "Epoch: 198/200-Batch\\h: 221/938--D.loss:0.3866,G.loss:1.6605\n",
            "Epoch: 198/200-Batch\\h: 222/938--D.loss:0.3195,G.loss:1.9270\n",
            "Epoch: 198/200-Batch\\h: 223/938--D.loss:0.5225,G.loss:1.6218\n",
            "Epoch: 198/200-Batch\\h: 224/938--D.loss:0.3873,G.loss:1.4156\n",
            "Epoch: 198/200-Batch\\h: 225/938--D.loss:0.3775,G.loss:1.4775\n",
            "Epoch: 198/200-Batch\\h: 226/938--D.loss:0.3725,G.loss:1.5868\n",
            "Epoch: 198/200-Batch\\h: 227/938--D.loss:0.4293,G.loss:1.6696\n",
            "Epoch: 198/200-Batch\\h: 228/938--D.loss:0.3206,G.loss:1.7227\n",
            "Epoch: 198/200-Batch\\h: 229/938--D.loss:0.3667,G.loss:1.7305\n",
            "Epoch: 198/200-Batch\\h: 230/938--D.loss:0.3352,G.loss:1.5897\n",
            "Epoch: 198/200-Batch\\h: 231/938--D.loss:0.3563,G.loss:1.8249\n",
            "Epoch: 198/200-Batch\\h: 232/938--D.loss:0.3430,G.loss:1.6115\n",
            "Epoch: 198/200-Batch\\h: 233/938--D.loss:0.3549,G.loss:1.8541\n",
            "Epoch: 198/200-Batch\\h: 234/938--D.loss:0.4764,G.loss:1.6589\n",
            "Epoch: 198/200-Batch\\h: 235/938--D.loss:0.3988,G.loss:1.2445\n",
            "Epoch: 198/200-Batch\\h: 236/938--D.loss:0.4314,G.loss:1.6365\n",
            "Epoch: 198/200-Batch\\h: 237/938--D.loss:0.3107,G.loss:1.3408\n",
            "Epoch: 198/200-Batch\\h: 238/938--D.loss:0.3598,G.loss:1.6523\n",
            "Epoch: 198/200-Batch\\h: 239/938--D.loss:0.3841,G.loss:2.0516\n",
            "Epoch: 198/200-Batch\\h: 240/938--D.loss:0.3471,G.loss:1.5037\n",
            "Epoch: 198/200-Batch\\h: 241/938--D.loss:0.3166,G.loss:1.6008\n",
            "Epoch: 198/200-Batch\\h: 242/938--D.loss:0.4046,G.loss:1.9222\n",
            "Epoch: 198/200-Batch\\h: 243/938--D.loss:0.3120,G.loss:1.7118\n",
            "Epoch: 198/200-Batch\\h: 244/938--D.loss:0.3449,G.loss:1.4354\n",
            "Epoch: 198/200-Batch\\h: 245/938--D.loss:0.3911,G.loss:1.4938\n",
            "Epoch: 198/200-Batch\\h: 246/938--D.loss:0.3226,G.loss:2.2589\n",
            "Epoch: 198/200-Batch\\h: 247/938--D.loss:0.3131,G.loss:1.5852\n",
            "Epoch: 198/200-Batch\\h: 248/938--D.loss:0.2679,G.loss:1.7594\n",
            "Epoch: 198/200-Batch\\h: 249/938--D.loss:0.3611,G.loss:1.7237\n",
            "Epoch: 198/200-Batch\\h: 250/938--D.loss:0.4328,G.loss:1.8720\n",
            "Epoch: 198/200-Batch\\h: 251/938--D.loss:0.3889,G.loss:1.4439\n",
            "Epoch: 198/200-Batch\\h: 252/938--D.loss:0.4136,G.loss:1.4401\n",
            "Epoch: 198/200-Batch\\h: 253/938--D.loss:0.3886,G.loss:1.6060\n",
            "Epoch: 198/200-Batch\\h: 254/938--D.loss:0.3928,G.loss:1.6122\n",
            "Epoch: 198/200-Batch\\h: 255/938--D.loss:0.4005,G.loss:1.3247\n",
            "Epoch: 198/200-Batch\\h: 256/938--D.loss:0.3886,G.loss:1.3410\n",
            "Epoch: 198/200-Batch\\h: 257/938--D.loss:0.3614,G.loss:1.8371\n",
            "Epoch: 198/200-Batch\\h: 258/938--D.loss:0.3326,G.loss:1.7200\n",
            "Epoch: 198/200-Batch\\h: 259/938--D.loss:0.3688,G.loss:1.3391\n",
            "Epoch: 198/200-Batch\\h: 260/938--D.loss:0.3163,G.loss:1.6387\n",
            "Epoch: 198/200-Batch\\h: 261/938--D.loss:0.4006,G.loss:1.8105\n",
            "Epoch: 198/200-Batch\\h: 262/938--D.loss:0.3236,G.loss:1.6437\n",
            "Epoch: 198/200-Batch\\h: 263/938--D.loss:0.3498,G.loss:1.5837\n",
            "Epoch: 198/200-Batch\\h: 264/938--D.loss:0.3936,G.loss:1.9265\n",
            "Epoch: 198/200-Batch\\h: 265/938--D.loss:0.3514,G.loss:1.6094\n",
            "Epoch: 198/200-Batch\\h: 266/938--D.loss:0.3352,G.loss:1.7547\n",
            "Epoch: 198/200-Batch\\h: 267/938--D.loss:0.3410,G.loss:1.8532\n",
            "Epoch: 198/200-Batch\\h: 268/938--D.loss:0.4377,G.loss:1.7525\n",
            "Epoch: 198/200-Batch\\h: 269/938--D.loss:0.3708,G.loss:1.5069\n",
            "Epoch: 198/200-Batch\\h: 270/938--D.loss:0.2790,G.loss:1.5304\n",
            "Epoch: 198/200-Batch\\h: 271/938--D.loss:0.3035,G.loss:1.8366\n",
            "Epoch: 198/200-Batch\\h: 272/938--D.loss:0.4127,G.loss:1.8195\n",
            "Epoch: 198/200-Batch\\h: 273/938--D.loss:0.3923,G.loss:1.4342\n",
            "Epoch: 198/200-Batch\\h: 274/938--D.loss:0.3499,G.loss:1.7365\n",
            "Epoch: 198/200-Batch\\h: 275/938--D.loss:0.3512,G.loss:1.3721\n",
            "Epoch: 198/200-Batch\\h: 276/938--D.loss:0.3722,G.loss:1.6698\n",
            "Epoch: 198/200-Batch\\h: 277/938--D.loss:0.3981,G.loss:1.6171\n",
            "Epoch: 198/200-Batch\\h: 278/938--D.loss:0.3243,G.loss:1.4563\n",
            "Epoch: 198/200-Batch\\h: 279/938--D.loss:0.4566,G.loss:1.7539\n",
            "Epoch: 198/200-Batch\\h: 280/938--D.loss:0.3503,G.loss:1.7792\n",
            "Epoch: 198/200-Batch\\h: 281/938--D.loss:0.2902,G.loss:1.5406\n",
            "Epoch: 198/200-Batch\\h: 282/938--D.loss:0.2949,G.loss:1.7747\n",
            "Epoch: 198/200-Batch\\h: 283/938--D.loss:0.3294,G.loss:1.5771\n",
            "Epoch: 198/200-Batch\\h: 284/938--D.loss:0.2668,G.loss:1.7260\n",
            "Epoch: 198/200-Batch\\h: 285/938--D.loss:0.4284,G.loss:2.1246\n",
            "Epoch: 198/200-Batch\\h: 286/938--D.loss:0.3795,G.loss:1.3699\n",
            "Epoch: 198/200-Batch\\h: 287/938--D.loss:0.3913,G.loss:1.3852\n",
            "Epoch: 198/200-Batch\\h: 288/938--D.loss:0.4720,G.loss:2.2297\n",
            "Epoch: 198/200-Batch\\h: 289/938--D.loss:0.3757,G.loss:1.2885\n",
            "Epoch: 198/200-Batch\\h: 290/938--D.loss:0.3943,G.loss:1.4069\n",
            "Epoch: 198/200-Batch\\h: 291/938--D.loss:0.3683,G.loss:1.7260\n",
            "Epoch: 198/200-Batch\\h: 292/938--D.loss:0.3711,G.loss:1.9660\n",
            "Epoch: 198/200-Batch\\h: 293/938--D.loss:0.4019,G.loss:2.1122\n",
            "Epoch: 198/200-Batch\\h: 294/938--D.loss:0.3976,G.loss:1.4386\n",
            "Epoch: 198/200-Batch\\h: 295/938--D.loss:0.3240,G.loss:1.4452\n",
            "Epoch: 198/200-Batch\\h: 296/938--D.loss:0.4173,G.loss:1.9204\n",
            "Epoch: 198/200-Batch\\h: 297/938--D.loss:0.3704,G.loss:1.5244\n",
            "Epoch: 198/200-Batch\\h: 298/938--D.loss:0.4090,G.loss:1.4506\n",
            "Epoch: 198/200-Batch\\h: 299/938--D.loss:0.3857,G.loss:1.6507\n",
            "Epoch: 198/200-Batch\\h: 300/938--D.loss:0.2924,G.loss:1.8032\n",
            "Epoch: 198/200-Batch\\h: 301/938--D.loss:0.4513,G.loss:2.2087\n",
            "Epoch: 198/200-Batch\\h: 302/938--D.loss:0.4479,G.loss:1.1898\n",
            "Epoch: 198/200-Batch\\h: 303/938--D.loss:0.3772,G.loss:1.2943\n",
            "Epoch: 198/200-Batch\\h: 304/938--D.loss:0.3066,G.loss:1.5944\n",
            "Epoch: 198/200-Batch\\h: 305/938--D.loss:0.4180,G.loss:2.2307\n",
            "Epoch: 198/200-Batch\\h: 306/938--D.loss:0.3075,G.loss:2.1394\n",
            "Epoch: 198/200-Batch\\h: 307/938--D.loss:0.3353,G.loss:1.3592\n",
            "Epoch: 198/200-Batch\\h: 308/938--D.loss:0.3593,G.loss:1.6925\n",
            "Epoch: 198/200-Batch\\h: 309/938--D.loss:0.3284,G.loss:1.9595\n",
            "Epoch: 198/200-Batch\\h: 310/938--D.loss:0.3980,G.loss:1.8894\n",
            "Epoch: 198/200-Batch\\h: 311/938--D.loss:0.4077,G.loss:1.6467\n",
            "Epoch: 198/200-Batch\\h: 312/938--D.loss:0.3723,G.loss:1.5682\n",
            "Epoch: 198/200-Batch\\h: 313/938--D.loss:0.4237,G.loss:1.2885\n",
            "Epoch: 198/200-Batch\\h: 314/938--D.loss:0.4241,G.loss:2.0444\n",
            "Epoch: 198/200-Batch\\h: 315/938--D.loss:0.3186,G.loss:1.4702\n",
            "Epoch: 198/200-Batch\\h: 316/938--D.loss:0.3487,G.loss:1.7297\n",
            "Epoch: 198/200-Batch\\h: 317/938--D.loss:0.4945,G.loss:1.7008\n",
            "Epoch: 198/200-Batch\\h: 318/938--D.loss:0.4627,G.loss:1.4783\n",
            "Epoch: 198/200-Batch\\h: 319/938--D.loss:0.4663,G.loss:1.3971\n",
            "Epoch: 198/200-Batch\\h: 320/938--D.loss:0.3856,G.loss:1.1595\n",
            "Epoch: 198/200-Batch\\h: 321/938--D.loss:0.2928,G.loss:1.6304\n",
            "Epoch: 198/200-Batch\\h: 322/938--D.loss:0.3354,G.loss:2.1328\n",
            "Epoch: 198/200-Batch\\h: 323/938--D.loss:0.3809,G.loss:1.5261\n",
            "Epoch: 198/200-Batch\\h: 324/938--D.loss:0.3466,G.loss:1.6910\n",
            "Epoch: 198/200-Batch\\h: 325/938--D.loss:0.3909,G.loss:1.8136\n",
            "Epoch: 198/200-Batch\\h: 326/938--D.loss:0.3338,G.loss:1.4979\n",
            "Epoch: 198/200-Batch\\h: 327/938--D.loss:0.3469,G.loss:1.8847\n",
            "Epoch: 198/200-Batch\\h: 328/938--D.loss:0.3248,G.loss:1.5641\n",
            "Epoch: 198/200-Batch\\h: 329/938--D.loss:0.3774,G.loss:1.6362\n",
            "Epoch: 198/200-Batch\\h: 330/938--D.loss:0.3237,G.loss:1.8083\n",
            "Epoch: 198/200-Batch\\h: 331/938--D.loss:0.3299,G.loss:1.8442\n",
            "Epoch: 198/200-Batch\\h: 332/938--D.loss:0.3437,G.loss:1.4751\n",
            "Epoch: 198/200-Batch\\h: 333/938--D.loss:0.3546,G.loss:2.2154\n",
            "Epoch: 198/200-Batch\\h: 334/938--D.loss:0.3324,G.loss:1.7528\n",
            "Epoch: 198/200-Batch\\h: 335/938--D.loss:0.3135,G.loss:1.5815\n",
            "Epoch: 198/200-Batch\\h: 336/938--D.loss:0.3270,G.loss:1.9800\n",
            "Epoch: 198/200-Batch\\h: 337/938--D.loss:0.3900,G.loss:1.9651\n",
            "Epoch: 198/200-Batch\\h: 338/938--D.loss:0.4098,G.loss:1.3379\n",
            "Epoch: 198/200-Batch\\h: 339/938--D.loss:0.3172,G.loss:1.6535\n",
            "Epoch: 198/200-Batch\\h: 340/938--D.loss:0.2597,G.loss:1.9127\n",
            "Epoch: 198/200-Batch\\h: 341/938--D.loss:0.2692,G.loss:1.8658\n",
            "Epoch: 198/200-Batch\\h: 342/938--D.loss:0.4146,G.loss:2.0232\n",
            "Epoch: 198/200-Batch\\h: 343/938--D.loss:0.3272,G.loss:1.4614\n",
            "Epoch: 198/200-Batch\\h: 344/938--D.loss:0.3264,G.loss:2.0118\n",
            "Epoch: 198/200-Batch\\h: 345/938--D.loss:0.3237,G.loss:2.0666\n",
            "Epoch: 198/200-Batch\\h: 346/938--D.loss:0.3809,G.loss:1.6156\n",
            "Epoch: 198/200-Batch\\h: 347/938--D.loss:0.3740,G.loss:1.3767\n",
            "Epoch: 198/200-Batch\\h: 348/938--D.loss:0.3493,G.loss:1.8670\n",
            "Epoch: 198/200-Batch\\h: 349/938--D.loss:0.4213,G.loss:1.7885\n",
            "Epoch: 198/200-Batch\\h: 350/938--D.loss:0.3832,G.loss:1.1749\n",
            "Epoch: 198/200-Batch\\h: 351/938--D.loss:0.3194,G.loss:1.3586\n",
            "Epoch: 198/200-Batch\\h: 352/938--D.loss:0.4259,G.loss:2.0978\n",
            "Epoch: 198/200-Batch\\h: 353/938--D.loss:0.3613,G.loss:1.5218\n",
            "Epoch: 198/200-Batch\\h: 354/938--D.loss:0.3013,G.loss:1.4980\n",
            "Epoch: 198/200-Batch\\h: 355/938--D.loss:0.3758,G.loss:2.0115\n",
            "Epoch: 198/200-Batch\\h: 356/938--D.loss:0.2744,G.loss:1.8106\n",
            "Epoch: 198/200-Batch\\h: 357/938--D.loss:0.3011,G.loss:1.8912\n",
            "Epoch: 198/200-Batch\\h: 358/938--D.loss:0.3764,G.loss:1.9297\n",
            "Epoch: 198/200-Batch\\h: 359/938--D.loss:0.3369,G.loss:1.6390\n",
            "Epoch: 198/200-Batch\\h: 360/938--D.loss:0.3797,G.loss:1.7573\n",
            "Epoch: 198/200-Batch\\h: 361/938--D.loss:0.3107,G.loss:1.8217\n",
            "Epoch: 198/200-Batch\\h: 362/938--D.loss:0.3722,G.loss:1.5632\n",
            "Epoch: 198/200-Batch\\h: 363/938--D.loss:0.4725,G.loss:1.7271\n",
            "Epoch: 198/200-Batch\\h: 364/938--D.loss:0.2918,G.loss:1.7506\n",
            "Epoch: 198/200-Batch\\h: 365/938--D.loss:0.3573,G.loss:1.7647\n",
            "Epoch: 198/200-Batch\\h: 366/938--D.loss:0.3963,G.loss:1.9867\n",
            "Epoch: 198/200-Batch\\h: 367/938--D.loss:0.3249,G.loss:1.7489\n",
            "Epoch: 198/200-Batch\\h: 368/938--D.loss:0.3918,G.loss:1.6289\n",
            "Epoch: 198/200-Batch\\h: 369/938--D.loss:0.3450,G.loss:1.5994\n",
            "Epoch: 198/200-Batch\\h: 370/938--D.loss:0.2298,G.loss:1.7636\n",
            "Epoch: 198/200-Batch\\h: 371/938--D.loss:0.2744,G.loss:2.0191\n",
            "Epoch: 198/200-Batch\\h: 372/938--D.loss:0.3544,G.loss:1.9189\n",
            "Epoch: 198/200-Batch\\h: 373/938--D.loss:0.4418,G.loss:1.5891\n",
            "Epoch: 198/200-Batch\\h: 374/938--D.loss:0.3472,G.loss:1.4691\n",
            "Epoch: 198/200-Batch\\h: 375/938--D.loss:0.4109,G.loss:1.8323\n",
            "Epoch: 198/200-Batch\\h: 376/938--D.loss:0.3390,G.loss:1.6480\n",
            "Epoch: 198/200-Batch\\h: 377/938--D.loss:0.3073,G.loss:1.7912\n",
            "Epoch: 198/200-Batch\\h: 378/938--D.loss:0.3152,G.loss:1.6223\n",
            "Epoch: 198/200-Batch\\h: 379/938--D.loss:0.3268,G.loss:1.7189\n",
            "Epoch: 198/200-Batch\\h: 380/938--D.loss:0.3016,G.loss:1.6071\n",
            "Epoch: 198/200-Batch\\h: 381/938--D.loss:0.3869,G.loss:2.2656\n",
            "Epoch: 198/200-Batch\\h: 382/938--D.loss:0.4213,G.loss:1.7825\n",
            "Epoch: 198/200-Batch\\h: 383/938--D.loss:0.4176,G.loss:1.5064\n",
            "Epoch: 198/200-Batch\\h: 384/938--D.loss:0.3463,G.loss:1.6139\n",
            "Epoch: 198/200-Batch\\h: 385/938--D.loss:0.3345,G.loss:1.5328\n",
            "Epoch: 198/200-Batch\\h: 386/938--D.loss:0.3001,G.loss:2.0680\n",
            "Epoch: 198/200-Batch\\h: 387/938--D.loss:0.3307,G.loss:1.8534\n",
            "Epoch: 198/200-Batch\\h: 388/938--D.loss:0.3030,G.loss:1.6132\n",
            "Epoch: 198/200-Batch\\h: 389/938--D.loss:0.3172,G.loss:1.8165\n",
            "Epoch: 198/200-Batch\\h: 390/938--D.loss:0.4006,G.loss:1.6991\n",
            "Epoch: 198/200-Batch\\h: 391/938--D.loss:0.4936,G.loss:1.3739\n",
            "Epoch: 198/200-Batch\\h: 392/938--D.loss:0.3873,G.loss:1.4940\n",
            "Epoch: 198/200-Batch\\h: 393/938--D.loss:0.3546,G.loss:1.8219\n",
            "Epoch: 198/200-Batch\\h: 394/938--D.loss:0.2807,G.loss:1.7209\n",
            "Epoch: 198/200-Batch\\h: 395/938--D.loss:0.4104,G.loss:1.9976\n",
            "Epoch: 198/200-Batch\\h: 396/938--D.loss:0.4151,G.loss:1.6793\n",
            "Epoch: 198/200-Batch\\h: 397/938--D.loss:0.3636,G.loss:1.8005\n",
            "Epoch: 198/200-Batch\\h: 398/938--D.loss:0.4302,G.loss:1.4640\n",
            "Epoch: 198/200-Batch\\h: 399/938--D.loss:0.3264,G.loss:1.6211\n",
            "Epoch: 198/200-Batch\\h: 400/938--D.loss:0.3652,G.loss:1.4031\n",
            "Epoch: 198/200-Batch\\h: 401/938--D.loss:0.3935,G.loss:1.7771\n",
            "Epoch: 198/200-Batch\\h: 402/938--D.loss:0.2903,G.loss:1.9770\n",
            "Epoch: 198/200-Batch\\h: 403/938--D.loss:0.3314,G.loss:1.6248\n",
            "Epoch: 198/200-Batch\\h: 404/938--D.loss:0.3948,G.loss:1.8235\n",
            "Epoch: 198/200-Batch\\h: 405/938--D.loss:0.3405,G.loss:1.7393\n",
            "Epoch: 198/200-Batch\\h: 406/938--D.loss:0.3829,G.loss:1.4960\n",
            "Epoch: 198/200-Batch\\h: 407/938--D.loss:0.2965,G.loss:1.8328\n",
            "Epoch: 198/200-Batch\\h: 408/938--D.loss:0.3129,G.loss:1.8579\n",
            "Epoch: 198/200-Batch\\h: 409/938--D.loss:0.2689,G.loss:1.8357\n",
            "Epoch: 198/200-Batch\\h: 410/938--D.loss:0.3322,G.loss:1.8694\n",
            "Epoch: 198/200-Batch\\h: 411/938--D.loss:0.4012,G.loss:1.4173\n",
            "Epoch: 198/200-Batch\\h: 412/938--D.loss:0.3417,G.loss:1.7881\n",
            "Epoch: 198/200-Batch\\h: 413/938--D.loss:0.3010,G.loss:1.6546\n",
            "Epoch: 198/200-Batch\\h: 414/938--D.loss:0.4309,G.loss:1.8690\n",
            "Epoch: 198/200-Batch\\h: 415/938--D.loss:0.3102,G.loss:1.5245\n",
            "Epoch: 198/200-Batch\\h: 416/938--D.loss:0.3208,G.loss:1.7250\n",
            "Epoch: 198/200-Batch\\h: 417/938--D.loss:0.3733,G.loss:2.0104\n",
            "Epoch: 198/200-Batch\\h: 418/938--D.loss:0.3142,G.loss:1.5323\n",
            "Epoch: 198/200-Batch\\h: 419/938--D.loss:0.3488,G.loss:1.7826\n",
            "Epoch: 198/200-Batch\\h: 420/938--D.loss:0.4048,G.loss:1.5602\n",
            "Epoch: 198/200-Batch\\h: 421/938--D.loss:0.4211,G.loss:1.6848\n",
            "Epoch: 198/200-Batch\\h: 422/938--D.loss:0.3699,G.loss:1.6982\n",
            "Epoch: 198/200-Batch\\h: 423/938--D.loss:0.3875,G.loss:1.6084\n",
            "Epoch: 198/200-Batch\\h: 424/938--D.loss:0.3679,G.loss:1.3418\n",
            "Epoch: 198/200-Batch\\h: 425/938--D.loss:0.3552,G.loss:1.7001\n",
            "Epoch: 198/200-Batch\\h: 426/938--D.loss:0.3338,G.loss:1.8307\n",
            "Epoch: 198/200-Batch\\h: 427/938--D.loss:0.3244,G.loss:1.6233\n",
            "Epoch: 198/200-Batch\\h: 428/938--D.loss:0.3299,G.loss:1.5459\n",
            "Epoch: 198/200-Batch\\h: 429/938--D.loss:0.2885,G.loss:2.0701\n",
            "Epoch: 198/200-Batch\\h: 430/938--D.loss:0.3771,G.loss:1.7933\n",
            "Epoch: 198/200-Batch\\h: 431/938--D.loss:0.3934,G.loss:1.4048\n",
            "Epoch: 198/200-Batch\\h: 432/938--D.loss:0.3222,G.loss:1.5782\n",
            "Epoch: 198/200-Batch\\h: 433/938--D.loss:0.3024,G.loss:1.7099\n",
            "Epoch: 198/200-Batch\\h: 434/938--D.loss:0.2890,G.loss:1.8598\n",
            "Epoch: 198/200-Batch\\h: 435/938--D.loss:0.3705,G.loss:1.9693\n",
            "Epoch: 198/200-Batch\\h: 436/938--D.loss:0.4209,G.loss:1.8009\n",
            "Epoch: 198/200-Batch\\h: 437/938--D.loss:0.3425,G.loss:1.4319\n",
            "Epoch: 198/200-Batch\\h: 438/938--D.loss:0.3975,G.loss:1.6101\n",
            "Epoch: 198/200-Batch\\h: 439/938--D.loss:0.3014,G.loss:1.5636\n",
            "Epoch: 198/200-Batch\\h: 440/938--D.loss:0.3381,G.loss:1.6543\n",
            "Epoch: 198/200-Batch\\h: 441/938--D.loss:0.3522,G.loss:1.7363\n",
            "Epoch: 198/200-Batch\\h: 442/938--D.loss:0.3814,G.loss:1.4639\n",
            "Epoch: 198/200-Batch\\h: 443/938--D.loss:0.2998,G.loss:1.8716\n",
            "Epoch: 198/200-Batch\\h: 444/938--D.loss:0.2538,G.loss:1.7937\n",
            "Epoch: 198/200-Batch\\h: 445/938--D.loss:0.3279,G.loss:1.8401\n",
            "Epoch: 198/200-Batch\\h: 446/938--D.loss:0.4973,G.loss:1.8960\n",
            "Epoch: 198/200-Batch\\h: 447/938--D.loss:0.2877,G.loss:1.7673\n",
            "Epoch: 198/200-Batch\\h: 448/938--D.loss:0.3225,G.loss:1.5246\n",
            "Epoch: 198/200-Batch\\h: 449/938--D.loss:0.2753,G.loss:1.7200\n",
            "Epoch: 198/200-Batch\\h: 450/938--D.loss:0.3821,G.loss:1.8839\n",
            "Epoch: 198/200-Batch\\h: 451/938--D.loss:0.3886,G.loss:1.7998\n",
            "Epoch: 198/200-Batch\\h: 452/938--D.loss:0.3531,G.loss:1.8916\n",
            "Epoch: 198/200-Batch\\h: 453/938--D.loss:0.3641,G.loss:1.9138\n",
            "Epoch: 198/200-Batch\\h: 454/938--D.loss:0.4075,G.loss:1.2939\n",
            "Epoch: 198/200-Batch\\h: 455/938--D.loss:0.4023,G.loss:1.8881\n",
            "Epoch: 198/200-Batch\\h: 456/938--D.loss:0.3232,G.loss:1.5683\n",
            "Epoch: 198/200-Batch\\h: 457/938--D.loss:0.3343,G.loss:1.7609\n",
            "Epoch: 198/200-Batch\\h: 458/938--D.loss:0.3893,G.loss:1.8013\n",
            "Epoch: 198/200-Batch\\h: 459/938--D.loss:0.3991,G.loss:1.6950\n",
            "Epoch: 198/200-Batch\\h: 460/938--D.loss:0.4049,G.loss:1.3217\n",
            "Epoch: 198/200-Batch\\h: 461/938--D.loss:0.3633,G.loss:1.4201\n",
            "Epoch: 198/200-Batch\\h: 462/938--D.loss:0.4184,G.loss:1.6507\n",
            "Epoch: 198/200-Batch\\h: 463/938--D.loss:0.4288,G.loss:1.9305\n",
            "Epoch: 198/200-Batch\\h: 464/938--D.loss:0.4328,G.loss:1.3959\n",
            "Epoch: 198/200-Batch\\h: 465/938--D.loss:0.4304,G.loss:1.1067\n",
            "Epoch: 198/200-Batch\\h: 466/938--D.loss:0.3392,G.loss:1.7761\n",
            "Epoch: 198/200-Batch\\h: 467/938--D.loss:0.3921,G.loss:2.0904\n",
            "Epoch: 198/200-Batch\\h: 468/938--D.loss:0.3776,G.loss:1.6376\n",
            "Epoch: 198/200-Batch\\h: 469/938--D.loss:0.2666,G.loss:1.5032\n",
            "Epoch: 198/200-Batch\\h: 470/938--D.loss:0.3658,G.loss:1.7605\n",
            "Epoch: 198/200-Batch\\h: 471/938--D.loss:0.4149,G.loss:1.8654\n",
            "Epoch: 198/200-Batch\\h: 472/938--D.loss:0.3792,G.loss:1.5815\n",
            "Epoch: 198/200-Batch\\h: 473/938--D.loss:0.3698,G.loss:1.5066\n",
            "Epoch: 198/200-Batch\\h: 474/938--D.loss:0.3417,G.loss:1.5883\n",
            "Epoch: 198/200-Batch\\h: 475/938--D.loss:0.3643,G.loss:1.5994\n",
            "Epoch: 198/200-Batch\\h: 476/938--D.loss:0.3832,G.loss:1.7604\n",
            "Epoch: 198/200-Batch\\h: 477/938--D.loss:0.3373,G.loss:1.6371\n",
            "Epoch: 198/200-Batch\\h: 478/938--D.loss:0.2885,G.loss:1.8181\n",
            "Epoch: 198/200-Batch\\h: 479/938--D.loss:0.2878,G.loss:1.9523\n",
            "Epoch: 198/200-Batch\\h: 480/938--D.loss:0.3768,G.loss:1.6596\n",
            "Epoch: 198/200-Batch\\h: 481/938--D.loss:0.3460,G.loss:1.4248\n",
            "Epoch: 198/200-Batch\\h: 482/938--D.loss:0.4118,G.loss:1.8447\n",
            "Epoch: 198/200-Batch\\h: 483/938--D.loss:0.3323,G.loss:1.7272\n",
            "Epoch: 198/200-Batch\\h: 484/938--D.loss:0.3666,G.loss:1.4820\n",
            "Epoch: 198/200-Batch\\h: 485/938--D.loss:0.3869,G.loss:1.9575\n",
            "Epoch: 198/200-Batch\\h: 486/938--D.loss:0.3126,G.loss:1.6599\n",
            "Epoch: 198/200-Batch\\h: 487/938--D.loss:0.3285,G.loss:1.6071\n",
            "Epoch: 198/200-Batch\\h: 488/938--D.loss:0.4353,G.loss:1.9400\n",
            "Epoch: 198/200-Batch\\h: 489/938--D.loss:0.3385,G.loss:1.6859\n",
            "Epoch: 198/200-Batch\\h: 490/938--D.loss:0.4046,G.loss:1.7774\n",
            "Epoch: 198/200-Batch\\h: 491/938--D.loss:0.3727,G.loss:1.4949\n",
            "Epoch: 198/200-Batch\\h: 492/938--D.loss:0.3181,G.loss:1.5156\n",
            "Epoch: 198/200-Batch\\h: 493/938--D.loss:0.3512,G.loss:1.4532\n",
            "Epoch: 198/200-Batch\\h: 494/938--D.loss:0.3703,G.loss:1.8772\n",
            "Epoch: 198/200-Batch\\h: 495/938--D.loss:0.3376,G.loss:1.3006\n",
            "Epoch: 198/200-Batch\\h: 496/938--D.loss:0.3524,G.loss:1.4178\n",
            "Epoch: 198/200-Batch\\h: 497/938--D.loss:0.3428,G.loss:2.0918\n",
            "Epoch: 198/200-Batch\\h: 498/938--D.loss:0.3433,G.loss:1.7570\n",
            "Epoch: 198/200-Batch\\h: 499/938--D.loss:0.4053,G.loss:1.9440\n",
            "Epoch: 198/200-Batch\\h: 500/938--D.loss:0.3718,G.loss:1.3801\n",
            "Epoch: 198/200-Batch\\h: 501/938--D.loss:0.2639,G.loss:1.9695\n",
            "Epoch: 198/200-Batch\\h: 502/938--D.loss:0.3459,G.loss:1.6820\n",
            "Epoch: 198/200-Batch\\h: 503/938--D.loss:0.3330,G.loss:1.6398\n",
            "Epoch: 198/200-Batch\\h: 504/938--D.loss:0.3987,G.loss:1.7859\n",
            "Epoch: 198/200-Batch\\h: 505/938--D.loss:0.2497,G.loss:1.7880\n",
            "Epoch: 198/200-Batch\\h: 506/938--D.loss:0.2842,G.loss:1.9076\n",
            "Epoch: 198/200-Batch\\h: 507/938--D.loss:0.3089,G.loss:1.9649\n",
            "Epoch: 198/200-Batch\\h: 508/938--D.loss:0.3596,G.loss:1.8108\n",
            "Epoch: 198/200-Batch\\h: 509/938--D.loss:0.3380,G.loss:1.7332\n",
            "Epoch: 198/200-Batch\\h: 510/938--D.loss:0.4340,G.loss:1.6707\n",
            "Epoch: 198/200-Batch\\h: 511/938--D.loss:0.3721,G.loss:1.7487\n",
            "Epoch: 198/200-Batch\\h: 512/938--D.loss:0.3758,G.loss:1.4522\n",
            "Epoch: 198/200-Batch\\h: 513/938--D.loss:0.3988,G.loss:1.8558\n",
            "Epoch: 198/200-Batch\\h: 514/938--D.loss:0.4200,G.loss:1.3108\n",
            "Epoch: 198/200-Batch\\h: 515/938--D.loss:0.4191,G.loss:1.6430\n",
            "Epoch: 198/200-Batch\\h: 516/938--D.loss:0.3455,G.loss:1.3919\n",
            "Epoch: 198/200-Batch\\h: 517/938--D.loss:0.4132,G.loss:1.3913\n",
            "Epoch: 198/200-Batch\\h: 518/938--D.loss:0.2972,G.loss:1.8189\n",
            "Epoch: 198/200-Batch\\h: 519/938--D.loss:0.3836,G.loss:2.0989\n",
            "Epoch: 198/200-Batch\\h: 520/938--D.loss:0.3415,G.loss:1.3795\n",
            "Epoch: 198/200-Batch\\h: 521/938--D.loss:0.3701,G.loss:1.5875\n",
            "Epoch: 198/200-Batch\\h: 522/938--D.loss:0.3757,G.loss:1.8111\n",
            "Epoch: 198/200-Batch\\h: 523/938--D.loss:0.3469,G.loss:1.8611\n",
            "Epoch: 198/200-Batch\\h: 524/938--D.loss:0.2967,G.loss:1.5642\n",
            "Epoch: 198/200-Batch\\h: 525/938--D.loss:0.4020,G.loss:1.9816\n",
            "Epoch: 198/200-Batch\\h: 526/938--D.loss:0.3274,G.loss:1.9931\n",
            "Epoch: 198/200-Batch\\h: 527/938--D.loss:0.3317,G.loss:1.5828\n",
            "Epoch: 198/200-Batch\\h: 528/938--D.loss:0.3371,G.loss:1.7019\n",
            "Epoch: 198/200-Batch\\h: 529/938--D.loss:0.3443,G.loss:1.7174\n",
            "Epoch: 198/200-Batch\\h: 530/938--D.loss:0.4338,G.loss:1.8496\n",
            "Epoch: 198/200-Batch\\h: 531/938--D.loss:0.4241,G.loss:1.4264\n",
            "Epoch: 198/200-Batch\\h: 532/938--D.loss:0.3952,G.loss:1.4045\n",
            "Epoch: 198/200-Batch\\h: 533/938--D.loss:0.3473,G.loss:1.9272\n",
            "Epoch: 198/200-Batch\\h: 534/938--D.loss:0.3444,G.loss:1.6874\n",
            "Epoch: 198/200-Batch\\h: 535/938--D.loss:0.2722,G.loss:1.8082\n",
            "Epoch: 198/200-Batch\\h: 536/938--D.loss:0.3483,G.loss:1.6293\n",
            "Epoch: 198/200-Batch\\h: 537/938--D.loss:0.2686,G.loss:1.7743\n",
            "Epoch: 198/200-Batch\\h: 538/938--D.loss:0.4063,G.loss:2.0211\n",
            "Epoch: 198/200-Batch\\h: 539/938--D.loss:0.2891,G.loss:1.8460\n",
            "Epoch: 198/200-Batch\\h: 540/938--D.loss:0.4021,G.loss:1.9338\n",
            "Epoch: 198/200-Batch\\h: 541/938--D.loss:0.3227,G.loss:1.4930\n",
            "Epoch: 198/200-Batch\\h: 542/938--D.loss:0.3419,G.loss:1.8021\n",
            "Epoch: 198/200-Batch\\h: 543/938--D.loss:0.2865,G.loss:1.9405\n",
            "Epoch: 198/200-Batch\\h: 544/938--D.loss:0.3063,G.loss:1.9726\n",
            "Epoch: 198/200-Batch\\h: 545/938--D.loss:0.4254,G.loss:1.5304\n",
            "Epoch: 198/200-Batch\\h: 546/938--D.loss:0.3770,G.loss:1.6282\n",
            "Epoch: 198/200-Batch\\h: 547/938--D.loss:0.3493,G.loss:1.6038\n",
            "Epoch: 198/200-Batch\\h: 548/938--D.loss:0.3614,G.loss:1.7929\n",
            "Epoch: 198/200-Batch\\h: 549/938--D.loss:0.3574,G.loss:1.5422\n",
            "Epoch: 198/200-Batch\\h: 550/938--D.loss:0.3609,G.loss:1.7797\n",
            "Epoch: 198/200-Batch\\h: 551/938--D.loss:0.2894,G.loss:1.6189\n",
            "Epoch: 198/200-Batch\\h: 552/938--D.loss:0.4008,G.loss:1.8137\n",
            "Epoch: 198/200-Batch\\h: 553/938--D.loss:0.3008,G.loss:1.8080\n",
            "Epoch: 198/200-Batch\\h: 554/938--D.loss:0.3913,G.loss:1.6359\n",
            "Epoch: 198/200-Batch\\h: 555/938--D.loss:0.3690,G.loss:1.6395\n",
            "Epoch: 198/200-Batch\\h: 556/938--D.loss:0.3344,G.loss:1.8364\n",
            "Epoch: 198/200-Batch\\h: 557/938--D.loss:0.2942,G.loss:1.8408\n",
            "Epoch: 198/200-Batch\\h: 558/938--D.loss:0.3493,G.loss:1.8401\n",
            "Epoch: 198/200-Batch\\h: 559/938--D.loss:0.3862,G.loss:1.7117\n",
            "Epoch: 198/200-Batch\\h: 560/938--D.loss:0.3581,G.loss:1.9191\n",
            "Epoch: 198/200-Batch\\h: 561/938--D.loss:0.4008,G.loss:1.4693\n",
            "Epoch: 198/200-Batch\\h: 562/938--D.loss:0.4595,G.loss:1.6697\n",
            "Epoch: 198/200-Batch\\h: 563/938--D.loss:0.3627,G.loss:1.8040\n",
            "Epoch: 198/200-Batch\\h: 564/938--D.loss:0.3495,G.loss:1.2114\n",
            "Epoch: 198/200-Batch\\h: 565/938--D.loss:0.3689,G.loss:1.6756\n",
            "Epoch: 198/200-Batch\\h: 566/938--D.loss:0.2857,G.loss:1.9249\n",
            "Epoch: 198/200-Batch\\h: 567/938--D.loss:0.3853,G.loss:1.5060\n",
            "Epoch: 198/200-Batch\\h: 568/938--D.loss:0.2965,G.loss:1.6702\n",
            "Epoch: 198/200-Batch\\h: 569/938--D.loss:0.3109,G.loss:2.0138\n",
            "Epoch: 198/200-Batch\\h: 570/938--D.loss:0.3943,G.loss:1.9657\n",
            "Epoch: 198/200-Batch\\h: 571/938--D.loss:0.3700,G.loss:1.5330\n",
            "Epoch: 198/200-Batch\\h: 572/938--D.loss:0.3329,G.loss:1.5964\n",
            "Epoch: 198/200-Batch\\h: 573/938--D.loss:0.2670,G.loss:1.8244\n",
            "Epoch: 198/200-Batch\\h: 574/938--D.loss:0.3656,G.loss:1.9094\n",
            "Epoch: 198/200-Batch\\h: 575/938--D.loss:0.3178,G.loss:1.7826\n",
            "Epoch: 198/200-Batch\\h: 576/938--D.loss:0.4694,G.loss:1.5018\n",
            "Epoch: 198/200-Batch\\h: 577/938--D.loss:0.4238,G.loss:1.4329\n",
            "Epoch: 198/200-Batch\\h: 578/938--D.loss:0.3964,G.loss:1.5186\n",
            "Epoch: 198/200-Batch\\h: 579/938--D.loss:0.2502,G.loss:1.9338\n",
            "Epoch: 198/200-Batch\\h: 580/938--D.loss:0.4150,G.loss:2.0071\n",
            "Epoch: 198/200-Batch\\h: 581/938--D.loss:0.3018,G.loss:1.3194\n",
            "Epoch: 198/200-Batch\\h: 582/938--D.loss:0.3385,G.loss:1.8256\n",
            "Epoch: 198/200-Batch\\h: 583/938--D.loss:0.3877,G.loss:1.9043\n",
            "Epoch: 198/200-Batch\\h: 584/938--D.loss:0.3320,G.loss:1.6076\n",
            "Epoch: 198/200-Batch\\h: 585/938--D.loss:0.2844,G.loss:1.7985\n",
            "Epoch: 198/200-Batch\\h: 586/938--D.loss:0.3531,G.loss:1.5908\n",
            "Epoch: 198/200-Batch\\h: 587/938--D.loss:0.3422,G.loss:1.6346\n",
            "Epoch: 198/200-Batch\\h: 588/938--D.loss:0.4054,G.loss:1.9520\n",
            "Epoch: 198/200-Batch\\h: 589/938--D.loss:0.3557,G.loss:1.8355\n",
            "Epoch: 198/200-Batch\\h: 590/938--D.loss:0.3679,G.loss:1.1086\n",
            "Epoch: 198/200-Batch\\h: 591/938--D.loss:0.3672,G.loss:1.7237\n",
            "Epoch: 198/200-Batch\\h: 592/938--D.loss:0.3921,G.loss:1.4233\n",
            "Epoch: 198/200-Batch\\h: 593/938--D.loss:0.3574,G.loss:1.6620\n",
            "Epoch: 198/200-Batch\\h: 594/938--D.loss:0.3106,G.loss:1.6990\n",
            "Epoch: 198/200-Batch\\h: 595/938--D.loss:0.3724,G.loss:1.8703\n",
            "Epoch: 198/200-Batch\\h: 596/938--D.loss:0.3287,G.loss:1.5367\n",
            "Epoch: 198/200-Batch\\h: 597/938--D.loss:0.3784,G.loss:1.3858\n",
            "Epoch: 198/200-Batch\\h: 598/938--D.loss:0.3885,G.loss:2.2364\n",
            "Epoch: 198/200-Batch\\h: 599/938--D.loss:0.4519,G.loss:1.5586\n",
            "Epoch: 198/200-Batch\\h: 600/938--D.loss:0.3055,G.loss:1.6703\n",
            "Epoch: 198/200-Batch\\h: 601/938--D.loss:0.4315,G.loss:2.0419\n",
            "Epoch: 198/200-Batch\\h: 602/938--D.loss:0.2968,G.loss:1.4536\n",
            "Epoch: 198/200-Batch\\h: 603/938--D.loss:0.4146,G.loss:1.5174\n",
            "Epoch: 198/200-Batch\\h: 604/938--D.loss:0.3436,G.loss:2.0695\n",
            "Epoch: 198/200-Batch\\h: 605/938--D.loss:0.3333,G.loss:1.7842\n",
            "Epoch: 198/200-Batch\\h: 606/938--D.loss:0.3452,G.loss:1.4731\n",
            "Epoch: 198/200-Batch\\h: 607/938--D.loss:0.3175,G.loss:1.7641\n",
            "Epoch: 198/200-Batch\\h: 608/938--D.loss:0.3543,G.loss:1.9412\n",
            "Epoch: 198/200-Batch\\h: 609/938--D.loss:0.4001,G.loss:1.5840\n",
            "Epoch: 198/200-Batch\\h: 610/938--D.loss:0.3689,G.loss:1.4165\n",
            "Epoch: 198/200-Batch\\h: 611/938--D.loss:0.3301,G.loss:1.7484\n",
            "Epoch: 198/200-Batch\\h: 612/938--D.loss:0.3012,G.loss:2.1148\n",
            "Epoch: 198/200-Batch\\h: 613/938--D.loss:0.3466,G.loss:1.8171\n",
            "Epoch: 198/200-Batch\\h: 614/938--D.loss:0.3742,G.loss:1.4957\n",
            "Epoch: 198/200-Batch\\h: 615/938--D.loss:0.4329,G.loss:1.5160\n",
            "Epoch: 198/200-Batch\\h: 616/938--D.loss:0.3604,G.loss:1.7244\n",
            "Epoch: 198/200-Batch\\h: 617/938--D.loss:0.3252,G.loss:1.5147\n",
            "Epoch: 198/200-Batch\\h: 618/938--D.loss:0.3255,G.loss:1.7771\n",
            "Epoch: 198/200-Batch\\h: 619/938--D.loss:0.3927,G.loss:1.6778\n",
            "Epoch: 198/200-Batch\\h: 620/938--D.loss:0.4312,G.loss:1.4589\n",
            "Epoch: 198/200-Batch\\h: 621/938--D.loss:0.3444,G.loss:1.4880\n",
            "Epoch: 198/200-Batch\\h: 622/938--D.loss:0.3676,G.loss:1.6580\n",
            "Epoch: 198/200-Batch\\h: 623/938--D.loss:0.2600,G.loss:1.9693\n",
            "Epoch: 198/200-Batch\\h: 624/938--D.loss:0.3061,G.loss:1.9619\n",
            "Epoch: 198/200-Batch\\h: 625/938--D.loss:0.4150,G.loss:1.7265\n",
            "Epoch: 198/200-Batch\\h: 626/938--D.loss:0.4030,G.loss:1.7197\n",
            "Epoch: 198/200-Batch\\h: 627/938--D.loss:0.2606,G.loss:1.5413\n",
            "Epoch: 198/200-Batch\\h: 628/938--D.loss:0.3419,G.loss:1.9399\n",
            "Epoch: 198/200-Batch\\h: 629/938--D.loss:0.3674,G.loss:2.0388\n",
            "Epoch: 198/200-Batch\\h: 630/938--D.loss:0.4103,G.loss:1.3924\n",
            "Epoch: 198/200-Batch\\h: 631/938--D.loss:0.3680,G.loss:1.5701\n",
            "Epoch: 198/200-Batch\\h: 632/938--D.loss:0.3295,G.loss:1.6107\n",
            "Epoch: 198/200-Batch\\h: 633/938--D.loss:0.3183,G.loss:2.0768\n",
            "Epoch: 198/200-Batch\\h: 634/938--D.loss:0.3818,G.loss:1.6018\n",
            "Epoch: 198/200-Batch\\h: 635/938--D.loss:0.3963,G.loss:1.5211\n",
            "Epoch: 198/200-Batch\\h: 636/938--D.loss:0.3343,G.loss:1.8289\n",
            "Epoch: 198/200-Batch\\h: 637/938--D.loss:0.3861,G.loss:1.6493\n",
            "Epoch: 198/200-Batch\\h: 638/938--D.loss:0.3520,G.loss:1.8467\n",
            "Epoch: 198/200-Batch\\h: 639/938--D.loss:0.4013,G.loss:1.5103\n",
            "Epoch: 198/200-Batch\\h: 640/938--D.loss:0.4716,G.loss:1.4152\n",
            "Epoch: 198/200-Batch\\h: 641/938--D.loss:0.3843,G.loss:1.4815\n",
            "Epoch: 198/200-Batch\\h: 642/938--D.loss:0.3001,G.loss:1.7632\n",
            "Epoch: 198/200-Batch\\h: 643/938--D.loss:0.4040,G.loss:1.6693\n",
            "Epoch: 198/200-Batch\\h: 644/938--D.loss:0.3550,G.loss:1.4059\n",
            "Epoch: 198/200-Batch\\h: 645/938--D.loss:0.3677,G.loss:1.3342\n",
            "Epoch: 198/200-Batch\\h: 646/938--D.loss:0.3792,G.loss:1.9419\n",
            "Epoch: 198/200-Batch\\h: 647/938--D.loss:0.2675,G.loss:1.7994\n",
            "Epoch: 198/200-Batch\\h: 648/938--D.loss:0.3282,G.loss:1.8243\n",
            "Epoch: 198/200-Batch\\h: 649/938--D.loss:0.3947,G.loss:1.4834\n",
            "Epoch: 198/200-Batch\\h: 650/938--D.loss:0.3488,G.loss:1.6275\n",
            "Epoch: 198/200-Batch\\h: 651/938--D.loss:0.2558,G.loss:1.8450\n",
            "Epoch: 198/200-Batch\\h: 652/938--D.loss:0.3822,G.loss:1.9318\n",
            "Epoch: 198/200-Batch\\h: 653/938--D.loss:0.3673,G.loss:1.7807\n",
            "Epoch: 198/200-Batch\\h: 654/938--D.loss:0.2787,G.loss:1.5032\n",
            "Epoch: 198/200-Batch\\h: 655/938--D.loss:0.3770,G.loss:1.7893\n",
            "Epoch: 198/200-Batch\\h: 656/938--D.loss:0.3826,G.loss:1.7087\n",
            "Epoch: 198/200-Batch\\h: 657/938--D.loss:0.3196,G.loss:1.5313\n",
            "Epoch: 198/200-Batch\\h: 658/938--D.loss:0.3424,G.loss:1.5756\n",
            "Epoch: 198/200-Batch\\h: 659/938--D.loss:0.3733,G.loss:1.7475\n",
            "Epoch: 198/200-Batch\\h: 660/938--D.loss:0.3804,G.loss:1.5769\n",
            "Epoch: 198/200-Batch\\h: 661/938--D.loss:0.3941,G.loss:1.8956\n",
            "Epoch: 198/200-Batch\\h: 662/938--D.loss:0.3971,G.loss:1.4153\n",
            "Epoch: 198/200-Batch\\h: 663/938--D.loss:0.3831,G.loss:1.4463\n",
            "Epoch: 198/200-Batch\\h: 664/938--D.loss:0.3565,G.loss:1.8319\n",
            "Epoch: 198/200-Batch\\h: 665/938--D.loss:0.3184,G.loss:1.5305\n",
            "Epoch: 198/200-Batch\\h: 666/938--D.loss:0.3026,G.loss:1.5438\n",
            "Epoch: 198/200-Batch\\h: 667/938--D.loss:0.3846,G.loss:1.7094\n",
            "Epoch: 198/200-Batch\\h: 668/938--D.loss:0.3539,G.loss:1.5977\n",
            "Epoch: 198/200-Batch\\h: 669/938--D.loss:0.2691,G.loss:2.0109\n",
            "Epoch: 198/200-Batch\\h: 670/938--D.loss:0.3052,G.loss:1.9737\n",
            "Epoch: 198/200-Batch\\h: 671/938--D.loss:0.3052,G.loss:1.9930\n",
            "Epoch: 198/200-Batch\\h: 672/938--D.loss:0.4485,G.loss:1.7099\n",
            "Epoch: 198/200-Batch\\h: 673/938--D.loss:0.3775,G.loss:1.9443\n",
            "Epoch: 198/200-Batch\\h: 674/938--D.loss:0.3306,G.loss:1.8755\n",
            "Epoch: 198/200-Batch\\h: 675/938--D.loss:0.3623,G.loss:2.0355\n",
            "Epoch: 198/200-Batch\\h: 676/938--D.loss:0.4105,G.loss:1.2026\n",
            "Epoch: 198/200-Batch\\h: 677/938--D.loss:0.3888,G.loss:1.4250\n",
            "Epoch: 198/200-Batch\\h: 678/938--D.loss:0.4104,G.loss:1.6905\n",
            "Epoch: 198/200-Batch\\h: 679/938--D.loss:0.3723,G.loss:1.5356\n",
            "Epoch: 198/200-Batch\\h: 680/938--D.loss:0.3443,G.loss:1.5288\n",
            "Epoch: 198/200-Batch\\h: 681/938--D.loss:0.4041,G.loss:1.5376\n",
            "Epoch: 198/200-Batch\\h: 682/938--D.loss:0.3693,G.loss:1.5340\n",
            "Epoch: 198/200-Batch\\h: 683/938--D.loss:0.3345,G.loss:1.6363\n",
            "Epoch: 198/200-Batch\\h: 684/938--D.loss:0.3807,G.loss:1.7707\n",
            "Epoch: 198/200-Batch\\h: 685/938--D.loss:0.3688,G.loss:1.7992\n",
            "Epoch: 198/200-Batch\\h: 686/938--D.loss:0.3682,G.loss:1.7793\n",
            "Epoch: 198/200-Batch\\h: 687/938--D.loss:0.3330,G.loss:1.7338\n",
            "Epoch: 198/200-Batch\\h: 688/938--D.loss:0.2989,G.loss:1.6980\n",
            "Epoch: 198/200-Batch\\h: 689/938--D.loss:0.4435,G.loss:1.9554\n",
            "Epoch: 198/200-Batch\\h: 690/938--D.loss:0.4085,G.loss:1.8888\n",
            "Epoch: 198/200-Batch\\h: 691/938--D.loss:0.3730,G.loss:1.6147\n",
            "Epoch: 198/200-Batch\\h: 692/938--D.loss:0.3484,G.loss:1.7758\n",
            "Epoch: 198/200-Batch\\h: 693/938--D.loss:0.3450,G.loss:1.4109\n",
            "Epoch: 198/200-Batch\\h: 694/938--D.loss:0.3779,G.loss:1.3307\n",
            "Epoch: 198/200-Batch\\h: 695/938--D.loss:0.3628,G.loss:1.8005\n",
            "Epoch: 198/200-Batch\\h: 696/938--D.loss:0.3880,G.loss:1.6293\n",
            "Epoch: 198/200-Batch\\h: 697/938--D.loss:0.2877,G.loss:1.7445\n",
            "Epoch: 198/200-Batch\\h: 698/938--D.loss:0.3244,G.loss:1.9054\n",
            "Epoch: 198/200-Batch\\h: 699/938--D.loss:0.2942,G.loss:1.8655\n",
            "Epoch: 198/200-Batch\\h: 700/938--D.loss:0.3969,G.loss:1.7032\n",
            "Epoch: 198/200-Batch\\h: 701/938--D.loss:0.4016,G.loss:1.5042\n",
            "Epoch: 198/200-Batch\\h: 702/938--D.loss:0.3544,G.loss:1.9146\n",
            "Epoch: 198/200-Batch\\h: 703/938--D.loss:0.4022,G.loss:1.5148\n",
            "Epoch: 198/200-Batch\\h: 704/938--D.loss:0.4398,G.loss:1.3497\n",
            "Epoch: 198/200-Batch\\h: 705/938--D.loss:0.2912,G.loss:1.8116\n",
            "Epoch: 198/200-Batch\\h: 706/938--D.loss:0.3490,G.loss:1.9488\n",
            "Epoch: 198/200-Batch\\h: 707/938--D.loss:0.2848,G.loss:1.7178\n",
            "Epoch: 198/200-Batch\\h: 708/938--D.loss:0.3903,G.loss:1.5961\n",
            "Epoch: 198/200-Batch\\h: 709/938--D.loss:0.3672,G.loss:1.8015\n",
            "Epoch: 198/200-Batch\\h: 710/938--D.loss:0.3704,G.loss:1.7273\n",
            "Epoch: 198/200-Batch\\h: 711/938--D.loss:0.3126,G.loss:1.5387\n",
            "Epoch: 198/200-Batch\\h: 712/938--D.loss:0.3560,G.loss:1.6038\n",
            "Epoch: 198/200-Batch\\h: 713/938--D.loss:0.3273,G.loss:1.7104\n",
            "Epoch: 198/200-Batch\\h: 714/938--D.loss:0.3144,G.loss:1.9905\n",
            "Epoch: 198/200-Batch\\h: 715/938--D.loss:0.3265,G.loss:1.7912\n",
            "Epoch: 198/200-Batch\\h: 716/938--D.loss:0.2482,G.loss:1.5712\n",
            "Epoch: 198/200-Batch\\h: 717/938--D.loss:0.3746,G.loss:1.8019\n",
            "Epoch: 198/200-Batch\\h: 718/938--D.loss:0.4446,G.loss:2.0576\n",
            "Epoch: 198/200-Batch\\h: 719/938--D.loss:0.3727,G.loss:1.4532\n",
            "Epoch: 198/200-Batch\\h: 720/938--D.loss:0.4103,G.loss:1.2032\n",
            "Epoch: 198/200-Batch\\h: 721/938--D.loss:0.2761,G.loss:1.8841\n",
            "Epoch: 198/200-Batch\\h: 722/938--D.loss:0.4326,G.loss:2.0697\n",
            "Epoch: 198/200-Batch\\h: 723/938--D.loss:0.3544,G.loss:1.8370\n",
            "Epoch: 198/200-Batch\\h: 724/938--D.loss:0.2937,G.loss:1.4959\n",
            "Epoch: 198/200-Batch\\h: 725/938--D.loss:0.4244,G.loss:1.8897\n",
            "Epoch: 198/200-Batch\\h: 726/938--D.loss:0.3695,G.loss:1.5754\n",
            "Epoch: 198/200-Batch\\h: 727/938--D.loss:0.3963,G.loss:1.5252\n",
            "Epoch: 198/200-Batch\\h: 728/938--D.loss:0.4492,G.loss:1.3415\n",
            "Epoch: 198/200-Batch\\h: 729/938--D.loss:0.3082,G.loss:1.8570\n",
            "Epoch: 198/200-Batch\\h: 730/938--D.loss:0.4075,G.loss:1.6080\n",
            "Epoch: 198/200-Batch\\h: 731/938--D.loss:0.3614,G.loss:1.8167\n",
            "Epoch: 198/200-Batch\\h: 732/938--D.loss:0.4080,G.loss:1.1377\n",
            "Epoch: 198/200-Batch\\h: 733/938--D.loss:0.3999,G.loss:1.6201\n",
            "Epoch: 198/200-Batch\\h: 734/938--D.loss:0.3303,G.loss:1.4348\n",
            "Epoch: 198/200-Batch\\h: 735/938--D.loss:0.3775,G.loss:1.7577\n",
            "Epoch: 198/200-Batch\\h: 736/938--D.loss:0.3507,G.loss:1.6734\n",
            "Epoch: 198/200-Batch\\h: 737/938--D.loss:0.3094,G.loss:1.8120\n",
            "Epoch: 198/200-Batch\\h: 738/938--D.loss:0.4247,G.loss:1.9929\n",
            "Epoch: 198/200-Batch\\h: 739/938--D.loss:0.2887,G.loss:1.6221\n",
            "Epoch: 198/200-Batch\\h: 740/938--D.loss:0.2773,G.loss:1.6768\n",
            "Epoch: 198/200-Batch\\h: 741/938--D.loss:0.3858,G.loss:1.8673\n",
            "Epoch: 198/200-Batch\\h: 742/938--D.loss:0.3788,G.loss:1.8849\n",
            "Epoch: 198/200-Batch\\h: 743/938--D.loss:0.3362,G.loss:1.5436\n",
            "Epoch: 198/200-Batch\\h: 744/938--D.loss:0.3951,G.loss:1.8145\n",
            "Epoch: 198/200-Batch\\h: 745/938--D.loss:0.3540,G.loss:1.6316\n",
            "Epoch: 198/200-Batch\\h: 746/938--D.loss:0.3160,G.loss:1.4133\n",
            "Epoch: 198/200-Batch\\h: 747/938--D.loss:0.4813,G.loss:1.8048\n",
            "Epoch: 198/200-Batch\\h: 748/938--D.loss:0.4231,G.loss:1.4422\n",
            "Epoch: 198/200-Batch\\h: 749/938--D.loss:0.3678,G.loss:1.7462\n",
            "Epoch: 198/200-Batch\\h: 750/938--D.loss:0.3767,G.loss:1.4433\n",
            "Epoch: 198/200-Batch\\h: 751/938--D.loss:0.3607,G.loss:1.8158\n",
            "Epoch: 198/200-Batch\\h: 752/938--D.loss:0.3533,G.loss:1.5295\n",
            "Epoch: 198/200-Batch\\h: 753/938--D.loss:0.4184,G.loss:1.8026\n",
            "Epoch: 198/200-Batch\\h: 754/938--D.loss:0.3980,G.loss:1.1676\n",
            "Epoch: 198/200-Batch\\h: 755/938--D.loss:0.3612,G.loss:1.7898\n",
            "Epoch: 198/200-Batch\\h: 756/938--D.loss:0.3439,G.loss:1.8594\n",
            "Epoch: 198/200-Batch\\h: 757/938--D.loss:0.3264,G.loss:1.6707\n",
            "Epoch: 198/200-Batch\\h: 758/938--D.loss:0.4477,G.loss:1.4690\n",
            "Epoch: 198/200-Batch\\h: 759/938--D.loss:0.2905,G.loss:1.7264\n",
            "Epoch: 198/200-Batch\\h: 760/938--D.loss:0.3419,G.loss:2.0115\n",
            "Epoch: 198/200-Batch\\h: 761/938--D.loss:0.4132,G.loss:1.7561\n",
            "Epoch: 198/200-Batch\\h: 762/938--D.loss:0.3767,G.loss:1.4626\n",
            "Epoch: 198/200-Batch\\h: 763/938--D.loss:0.4601,G.loss:1.5916\n",
            "Epoch: 198/200-Batch\\h: 764/938--D.loss:0.3246,G.loss:1.3706\n",
            "Epoch: 198/200-Batch\\h: 765/938--D.loss:0.4336,G.loss:1.8031\n",
            "Epoch: 198/200-Batch\\h: 766/938--D.loss:0.2861,G.loss:1.8579\n",
            "Epoch: 198/200-Batch\\h: 767/938--D.loss:0.3062,G.loss:1.7767\n",
            "Epoch: 198/200-Batch\\h: 768/938--D.loss:0.3604,G.loss:1.5804\n",
            "Epoch: 198/200-Batch\\h: 769/938--D.loss:0.3203,G.loss:1.8408\n",
            "Epoch: 198/200-Batch\\h: 770/938--D.loss:0.2789,G.loss:1.9114\n",
            "Epoch: 198/200-Batch\\h: 771/938--D.loss:0.2965,G.loss:2.1020\n",
            "Epoch: 198/200-Batch\\h: 772/938--D.loss:0.3835,G.loss:1.4828\n",
            "Epoch: 198/200-Batch\\h: 773/938--D.loss:0.3807,G.loss:1.5731\n",
            "Epoch: 198/200-Batch\\h: 774/938--D.loss:0.3740,G.loss:1.9066\n",
            "Epoch: 198/200-Batch\\h: 775/938--D.loss:0.4323,G.loss:1.7458\n",
            "Epoch: 198/200-Batch\\h: 776/938--D.loss:0.4170,G.loss:1.5030\n",
            "Epoch: 198/200-Batch\\h: 777/938--D.loss:0.3677,G.loss:1.2929\n",
            "Epoch: 198/200-Batch\\h: 778/938--D.loss:0.4233,G.loss:1.6374\n",
            "Epoch: 198/200-Batch\\h: 779/938--D.loss:0.3208,G.loss:1.6938\n",
            "Epoch: 198/200-Batch\\h: 780/938--D.loss:0.3357,G.loss:1.7626\n",
            "Epoch: 198/200-Batch\\h: 781/938--D.loss:0.3457,G.loss:1.5472\n",
            "Epoch: 198/200-Batch\\h: 782/938--D.loss:0.3840,G.loss:1.6857\n",
            "Epoch: 198/200-Batch\\h: 783/938--D.loss:0.3312,G.loss:1.4683\n",
            "Epoch: 198/200-Batch\\h: 784/938--D.loss:0.2458,G.loss:1.6219\n",
            "Epoch: 198/200-Batch\\h: 785/938--D.loss:0.3232,G.loss:1.7468\n",
            "Epoch: 198/200-Batch\\h: 786/938--D.loss:0.3204,G.loss:1.9600\n",
            "Epoch: 198/200-Batch\\h: 787/938--D.loss:0.3389,G.loss:1.8995\n",
            "Epoch: 198/200-Batch\\h: 788/938--D.loss:0.3902,G.loss:1.5347\n",
            "Epoch: 198/200-Batch\\h: 789/938--D.loss:0.3697,G.loss:1.6859\n",
            "Epoch: 198/200-Batch\\h: 790/938--D.loss:0.3381,G.loss:1.7134\n",
            "Epoch: 198/200-Batch\\h: 791/938--D.loss:0.3770,G.loss:1.5646\n",
            "Epoch: 198/200-Batch\\h: 792/938--D.loss:0.3535,G.loss:1.7313\n",
            "Epoch: 198/200-Batch\\h: 793/938--D.loss:0.3409,G.loss:1.3334\n",
            "Epoch: 198/200-Batch\\h: 794/938--D.loss:0.4354,G.loss:2.0152\n",
            "Epoch: 198/200-Batch\\h: 795/938--D.loss:0.3557,G.loss:1.4667\n",
            "Epoch: 198/200-Batch\\h: 796/938--D.loss:0.4107,G.loss:1.8892\n",
            "Epoch: 198/200-Batch\\h: 797/938--D.loss:0.2663,G.loss:1.8920\n",
            "Epoch: 198/200-Batch\\h: 798/938--D.loss:0.4618,G.loss:2.1888\n",
            "Epoch: 198/200-Batch\\h: 799/938--D.loss:0.4204,G.loss:1.2808\n",
            "Epoch: 198/200-Batch\\h: 800/938--D.loss:0.3972,G.loss:1.6637\n",
            "Epoch: 198/200-Batch\\h: 801/938--D.loss:0.3826,G.loss:1.9294\n",
            "Epoch: 198/200-Batch\\h: 802/938--D.loss:0.3748,G.loss:1.5818\n",
            "Epoch: 198/200-Batch\\h: 803/938--D.loss:0.3112,G.loss:1.4516\n",
            "Epoch: 198/200-Batch\\h: 804/938--D.loss:0.2686,G.loss:1.8717\n",
            "Epoch: 198/200-Batch\\h: 805/938--D.loss:0.3368,G.loss:2.0284\n",
            "Epoch: 198/200-Batch\\h: 806/938--D.loss:0.3763,G.loss:1.5852\n",
            "Epoch: 198/200-Batch\\h: 807/938--D.loss:0.3655,G.loss:1.9226\n",
            "Epoch: 198/200-Batch\\h: 808/938--D.loss:0.3318,G.loss:1.7232\n",
            "Epoch: 198/200-Batch\\h: 809/938--D.loss:0.2875,G.loss:1.9211\n",
            "Epoch: 198/200-Batch\\h: 810/938--D.loss:0.3306,G.loss:1.6696\n",
            "Epoch: 198/200-Batch\\h: 811/938--D.loss:0.4169,G.loss:1.8955\n",
            "Epoch: 198/200-Batch\\h: 812/938--D.loss:0.3824,G.loss:1.4483\n",
            "Epoch: 198/200-Batch\\h: 813/938--D.loss:0.3418,G.loss:1.2101\n",
            "Epoch: 198/200-Batch\\h: 814/938--D.loss:0.3702,G.loss:1.9821\n",
            "Epoch: 198/200-Batch\\h: 815/938--D.loss:0.3487,G.loss:2.0585\n",
            "Epoch: 198/200-Batch\\h: 816/938--D.loss:0.3190,G.loss:1.4260\n",
            "Epoch: 198/200-Batch\\h: 817/938--D.loss:0.4014,G.loss:1.5827\n",
            "Epoch: 198/200-Batch\\h: 818/938--D.loss:0.3689,G.loss:1.7205\n",
            "Epoch: 198/200-Batch\\h: 819/938--D.loss:0.4273,G.loss:1.7934\n",
            "Epoch: 198/200-Batch\\h: 820/938--D.loss:0.4368,G.loss:1.6349\n",
            "Epoch: 198/200-Batch\\h: 821/938--D.loss:0.3460,G.loss:1.3773\n",
            "Epoch: 198/200-Batch\\h: 822/938--D.loss:0.3613,G.loss:1.5777\n",
            "Epoch: 198/200-Batch\\h: 823/938--D.loss:0.3908,G.loss:1.7854\n",
            "Epoch: 198/200-Batch\\h: 824/938--D.loss:0.4068,G.loss:1.5437\n",
            "Epoch: 198/200-Batch\\h: 825/938--D.loss:0.3659,G.loss:1.3222\n",
            "Epoch: 198/200-Batch\\h: 826/938--D.loss:0.3534,G.loss:1.6852\n",
            "Epoch: 198/200-Batch\\h: 827/938--D.loss:0.3908,G.loss:2.0412\n",
            "Epoch: 198/200-Batch\\h: 828/938--D.loss:0.3278,G.loss:1.7282\n",
            "Epoch: 198/200-Batch\\h: 829/938--D.loss:0.2985,G.loss:1.5788\n",
            "Epoch: 198/200-Batch\\h: 830/938--D.loss:0.3398,G.loss:1.8097\n",
            "Epoch: 198/200-Batch\\h: 831/938--D.loss:0.2956,G.loss:1.6335\n",
            "Epoch: 198/200-Batch\\h: 832/938--D.loss:0.3689,G.loss:2.1624\n",
            "Epoch: 198/200-Batch\\h: 833/938--D.loss:0.4171,G.loss:1.7930\n",
            "Epoch: 198/200-Batch\\h: 834/938--D.loss:0.3381,G.loss:1.6987\n",
            "Epoch: 198/200-Batch\\h: 835/938--D.loss:0.3964,G.loss:1.5505\n",
            "Epoch: 198/200-Batch\\h: 836/938--D.loss:0.3663,G.loss:1.9310\n",
            "Epoch: 198/200-Batch\\h: 837/938--D.loss:0.3570,G.loss:1.6244\n",
            "Epoch: 198/200-Batch\\h: 838/938--D.loss:0.3618,G.loss:1.9289\n",
            "Epoch: 198/200-Batch\\h: 839/938--D.loss:0.3857,G.loss:1.4891\n",
            "Epoch: 198/200-Batch\\h: 840/938--D.loss:0.3200,G.loss:1.7120\n",
            "Epoch: 198/200-Batch\\h: 841/938--D.loss:0.2690,G.loss:1.8131\n",
            "Epoch: 198/200-Batch\\h: 842/938--D.loss:0.3039,G.loss:1.9092\n",
            "Epoch: 198/200-Batch\\h: 843/938--D.loss:0.3416,G.loss:1.9729\n",
            "Epoch: 198/200-Batch\\h: 844/938--D.loss:0.3040,G.loss:1.7743\n",
            "Epoch: 198/200-Batch\\h: 845/938--D.loss:0.3789,G.loss:1.4860\n",
            "Epoch: 198/200-Batch\\h: 846/938--D.loss:0.3903,G.loss:1.5915\n",
            "Epoch: 198/200-Batch\\h: 847/938--D.loss:0.3751,G.loss:1.5871\n",
            "Epoch: 198/200-Batch\\h: 848/938--D.loss:0.3808,G.loss:1.6686\n",
            "Epoch: 198/200-Batch\\h: 849/938--D.loss:0.3358,G.loss:1.7897\n",
            "Epoch: 198/200-Batch\\h: 850/938--D.loss:0.4557,G.loss:1.4647\n",
            "Epoch: 198/200-Batch\\h: 851/938--D.loss:0.3050,G.loss:1.8294\n",
            "Epoch: 198/200-Batch\\h: 852/938--D.loss:0.3546,G.loss:1.8734\n",
            "Epoch: 198/200-Batch\\h: 853/938--D.loss:0.2596,G.loss:1.7033\n",
            "Epoch: 198/200-Batch\\h: 854/938--D.loss:0.2940,G.loss:1.8654\n",
            "Epoch: 198/200-Batch\\h: 855/938--D.loss:0.3391,G.loss:1.9376\n",
            "Epoch: 198/200-Batch\\h: 856/938--D.loss:0.5123,G.loss:1.5985\n",
            "Epoch: 198/200-Batch\\h: 857/938--D.loss:0.3001,G.loss:1.6215\n",
            "Epoch: 198/200-Batch\\h: 858/938--D.loss:0.3599,G.loss:1.7028\n",
            "Epoch: 198/200-Batch\\h: 859/938--D.loss:0.3355,G.loss:1.6624\n",
            "Epoch: 198/200-Batch\\h: 860/938--D.loss:0.3094,G.loss:1.7365\n",
            "Epoch: 198/200-Batch\\h: 861/938--D.loss:0.3475,G.loss:1.4433\n",
            "Epoch: 198/200-Batch\\h: 862/938--D.loss:0.3278,G.loss:1.9726\n",
            "Epoch: 198/200-Batch\\h: 863/938--D.loss:0.3326,G.loss:2.1196\n",
            "Epoch: 198/200-Batch\\h: 864/938--D.loss:0.3906,G.loss:1.5175\n",
            "Epoch: 198/200-Batch\\h: 865/938--D.loss:0.3729,G.loss:1.4648\n",
            "Epoch: 198/200-Batch\\h: 866/938--D.loss:0.3412,G.loss:1.5483\n",
            "Epoch: 198/200-Batch\\h: 867/938--D.loss:0.3332,G.loss:1.5649\n",
            "Epoch: 198/200-Batch\\h: 868/938--D.loss:0.3757,G.loss:1.9075\n",
            "Epoch: 198/200-Batch\\h: 869/938--D.loss:0.3423,G.loss:1.5739\n",
            "Epoch: 198/200-Batch\\h: 870/938--D.loss:0.4242,G.loss:1.6191\n",
            "Epoch: 198/200-Batch\\h: 871/938--D.loss:0.3361,G.loss:1.9865\n",
            "Epoch: 198/200-Batch\\h: 872/938--D.loss:0.3015,G.loss:1.4758\n",
            "Epoch: 198/200-Batch\\h: 873/938--D.loss:0.3619,G.loss:1.6481\n",
            "Epoch: 198/200-Batch\\h: 874/938--D.loss:0.3516,G.loss:1.7619\n",
            "Epoch: 198/200-Batch\\h: 875/938--D.loss:0.4010,G.loss:1.8030\n",
            "Epoch: 198/200-Batch\\h: 876/938--D.loss:0.2448,G.loss:1.8653\n",
            "Epoch: 198/200-Batch\\h: 877/938--D.loss:0.3809,G.loss:1.7062\n",
            "Epoch: 198/200-Batch\\h: 878/938--D.loss:0.3608,G.loss:1.7426\n",
            "Epoch: 198/200-Batch\\h: 879/938--D.loss:0.2923,G.loss:1.6793\n",
            "Epoch: 198/200-Batch\\h: 880/938--D.loss:0.3398,G.loss:2.0765\n",
            "Epoch: 198/200-Batch\\h: 881/938--D.loss:0.3269,G.loss:1.6215\n",
            "Epoch: 198/200-Batch\\h: 882/938--D.loss:0.3829,G.loss:1.4793\n",
            "Epoch: 198/200-Batch\\h: 883/938--D.loss:0.3145,G.loss:1.6001\n",
            "Epoch: 198/200-Batch\\h: 884/938--D.loss:0.4359,G.loss:2.0647\n",
            "Epoch: 198/200-Batch\\h: 885/938--D.loss:0.3836,G.loss:1.4626\n",
            "Epoch: 198/200-Batch\\h: 886/938--D.loss:0.3116,G.loss:1.7804\n",
            "Epoch: 198/200-Batch\\h: 887/938--D.loss:0.3342,G.loss:1.8067\n",
            "Epoch: 198/200-Batch\\h: 888/938--D.loss:0.3603,G.loss:1.8344\n",
            "Epoch: 198/200-Batch\\h: 889/938--D.loss:0.2966,G.loss:1.5957\n",
            "Epoch: 198/200-Batch\\h: 890/938--D.loss:0.3039,G.loss:1.6944\n",
            "Epoch: 198/200-Batch\\h: 891/938--D.loss:0.3949,G.loss:1.8054\n",
            "Epoch: 198/200-Batch\\h: 892/938--D.loss:0.3419,G.loss:2.0464\n",
            "Epoch: 198/200-Batch\\h: 893/938--D.loss:0.3773,G.loss:1.4725\n",
            "Epoch: 198/200-Batch\\h: 894/938--D.loss:0.3644,G.loss:1.6821\n",
            "Epoch: 198/200-Batch\\h: 895/938--D.loss:0.2491,G.loss:1.5830\n",
            "Epoch: 198/200-Batch\\h: 896/938--D.loss:0.3498,G.loss:1.9990\n",
            "Epoch: 198/200-Batch\\h: 897/938--D.loss:0.4268,G.loss:1.9289\n",
            "Epoch: 198/200-Batch\\h: 898/938--D.loss:0.3766,G.loss:1.3345\n",
            "Epoch: 198/200-Batch\\h: 899/938--D.loss:0.3843,G.loss:1.7889\n",
            "Epoch: 198/200-Batch\\h: 900/938--D.loss:0.3982,G.loss:1.9420\n",
            "Epoch: 198/200-Batch\\h: 901/938--D.loss:0.3889,G.loss:1.2095\n",
            "Epoch: 198/200-Batch\\h: 902/938--D.loss:0.3670,G.loss:1.6778\n",
            "Epoch: 198/200-Batch\\h: 903/938--D.loss:0.4080,G.loss:1.8582\n",
            "Epoch: 198/200-Batch\\h: 904/938--D.loss:0.3885,G.loss:1.4876\n",
            "Epoch: 198/200-Batch\\h: 905/938--D.loss:0.4379,G.loss:1.0221\n",
            "Epoch: 198/200-Batch\\h: 906/938--D.loss:0.3913,G.loss:1.6618\n",
            "Epoch: 198/200-Batch\\h: 907/938--D.loss:0.3051,G.loss:1.8662\n",
            "Epoch: 198/200-Batch\\h: 908/938--D.loss:0.2775,G.loss:1.9660\n",
            "Epoch: 198/200-Batch\\h: 909/938--D.loss:0.4044,G.loss:1.6388\n",
            "Epoch: 198/200-Batch\\h: 910/938--D.loss:0.3489,G.loss:1.4179\n",
            "Epoch: 198/200-Batch\\h: 911/938--D.loss:0.4173,G.loss:1.9125\n",
            "Epoch: 198/200-Batch\\h: 912/938--D.loss:0.3547,G.loss:1.9242\n",
            "Epoch: 198/200-Batch\\h: 913/938--D.loss:0.3050,G.loss:1.4572\n",
            "Epoch: 198/200-Batch\\h: 914/938--D.loss:0.3533,G.loss:1.4956\n",
            "Epoch: 198/200-Batch\\h: 915/938--D.loss:0.3476,G.loss:1.9340\n",
            "Epoch: 198/200-Batch\\h: 916/938--D.loss:0.2892,G.loss:2.0063\n",
            "Epoch: 198/200-Batch\\h: 917/938--D.loss:0.3585,G.loss:1.5664\n",
            "Epoch: 198/200-Batch\\h: 918/938--D.loss:0.3318,G.loss:1.6916\n",
            "Epoch: 198/200-Batch\\h: 919/938--D.loss:0.3496,G.loss:1.7381\n",
            "Epoch: 198/200-Batch\\h: 920/938--D.loss:0.2335,G.loss:1.9379\n",
            "Epoch: 198/200-Batch\\h: 921/938--D.loss:0.3297,G.loss:1.6992\n",
            "Epoch: 198/200-Batch\\h: 922/938--D.loss:0.3392,G.loss:2.0025\n",
            "Epoch: 198/200-Batch\\h: 923/938--D.loss:0.3933,G.loss:1.5785\n",
            "Epoch: 198/200-Batch\\h: 924/938--D.loss:0.3517,G.loss:1.3850\n",
            "Epoch: 198/200-Batch\\h: 925/938--D.loss:0.3544,G.loss:1.8819\n",
            "Epoch: 198/200-Batch\\h: 926/938--D.loss:0.3454,G.loss:1.8738\n",
            "Epoch: 198/200-Batch\\h: 927/938--D.loss:0.3501,G.loss:1.5279\n",
            "Epoch: 198/200-Batch\\h: 928/938--D.loss:0.3106,G.loss:1.7740\n",
            "Epoch: 198/200-Batch\\h: 929/938--D.loss:0.4218,G.loss:1.8801\n",
            "Epoch: 198/200-Batch\\h: 930/938--D.loss:0.3878,G.loss:1.4273\n",
            "Epoch: 198/200-Batch\\h: 931/938--D.loss:0.3583,G.loss:1.4292\n",
            "Epoch: 198/200-Batch\\h: 932/938--D.loss:0.2801,G.loss:1.6900\n",
            "Epoch: 198/200-Batch\\h: 933/938--D.loss:0.3652,G.loss:1.7426\n",
            "Epoch: 198/200-Batch\\h: 934/938--D.loss:0.2889,G.loss:1.9562\n",
            "Epoch: 198/200-Batch\\h: 935/938--D.loss:0.3287,G.loss:1.8275\n",
            "Epoch: 198/200-Batch\\h: 936/938--D.loss:0.2990,G.loss:1.8510\n",
            "Epoch: 198/200-Batch\\h: 937/938--D.loss:0.3717,G.loss:1.7797\n",
            "Epoch: 199/200-Batch\\h: 0/938--D.loss:0.3105,G.loss:1.6102\n",
            "Epoch: 199/200-Batch\\h: 1/938--D.loss:0.4367,G.loss:1.6915\n",
            "Epoch: 199/200-Batch\\h: 2/938--D.loss:0.2831,G.loss:1.5999\n",
            "Epoch: 199/200-Batch\\h: 3/938--D.loss:0.2937,G.loss:1.9282\n",
            "Epoch: 199/200-Batch\\h: 4/938--D.loss:0.2420,G.loss:2.0275\n",
            "Epoch: 199/200-Batch\\h: 5/938--D.loss:0.3947,G.loss:2.5156\n",
            "Epoch: 199/200-Batch\\h: 6/938--D.loss:0.3789,G.loss:1.4717\n",
            "Epoch: 199/200-Batch\\h: 7/938--D.loss:0.4831,G.loss:1.1601\n",
            "Epoch: 199/200-Batch\\h: 8/938--D.loss:0.2919,G.loss:1.7694\n",
            "Epoch: 199/200-Batch\\h: 9/938--D.loss:0.3186,G.loss:2.2085\n",
            "Epoch: 199/200-Batch\\h: 10/938--D.loss:0.3559,G.loss:1.8900\n",
            "Epoch: 199/200-Batch\\h: 11/938--D.loss:0.2865,G.loss:1.5796\n",
            "Epoch: 199/200-Batch\\h: 12/938--D.loss:0.2740,G.loss:1.7702\n",
            "Epoch: 199/200-Batch\\h: 13/938--D.loss:0.3759,G.loss:1.9422\n",
            "Epoch: 199/200-Batch\\h: 14/938--D.loss:0.4157,G.loss:1.7036\n",
            "Epoch: 199/200-Batch\\h: 15/938--D.loss:0.3959,G.loss:1.7867\n",
            "Epoch: 199/200-Batch\\h: 16/938--D.loss:0.3752,G.loss:1.4500\n",
            "Epoch: 199/200-Batch\\h: 17/938--D.loss:0.3510,G.loss:1.6968\n",
            "Epoch: 199/200-Batch\\h: 18/938--D.loss:0.3604,G.loss:1.6426\n",
            "Epoch: 199/200-Batch\\h: 19/938--D.loss:0.3501,G.loss:1.7486\n",
            "Epoch: 199/200-Batch\\h: 20/938--D.loss:0.4119,G.loss:1.6195\n",
            "Epoch: 199/200-Batch\\h: 21/938--D.loss:0.3436,G.loss:1.4086\n",
            "Epoch: 199/200-Batch\\h: 22/938--D.loss:0.3572,G.loss:2.0058\n",
            "Epoch: 199/200-Batch\\h: 23/938--D.loss:0.3855,G.loss:1.6331\n",
            "Epoch: 199/200-Batch\\h: 24/938--D.loss:0.3606,G.loss:1.7066\n",
            "Epoch: 199/200-Batch\\h: 25/938--D.loss:0.4277,G.loss:1.8664\n",
            "Epoch: 199/200-Batch\\h: 26/938--D.loss:0.3573,G.loss:1.5064\n",
            "Epoch: 199/200-Batch\\h: 27/938--D.loss:0.3850,G.loss:1.7086\n",
            "Epoch: 199/200-Batch\\h: 28/938--D.loss:0.3851,G.loss:1.4067\n",
            "Epoch: 199/200-Batch\\h: 29/938--D.loss:0.3114,G.loss:1.6616\n",
            "Epoch: 199/200-Batch\\h: 30/938--D.loss:0.3410,G.loss:1.6509\n",
            "Epoch: 199/200-Batch\\h: 31/938--D.loss:0.3298,G.loss:1.8905\n",
            "Epoch: 199/200-Batch\\h: 32/938--D.loss:0.4112,G.loss:1.4318\n",
            "Epoch: 199/200-Batch\\h: 33/938--D.loss:0.3796,G.loss:2.0409\n",
            "Epoch: 199/200-Batch\\h: 34/938--D.loss:0.4138,G.loss:1.7294\n",
            "Epoch: 199/200-Batch\\h: 35/938--D.loss:0.3760,G.loss:1.3735\n",
            "Epoch: 199/200-Batch\\h: 36/938--D.loss:0.3173,G.loss:1.4532\n",
            "Epoch: 199/200-Batch\\h: 37/938--D.loss:0.3882,G.loss:2.0269\n",
            "Epoch: 199/200-Batch\\h: 38/938--D.loss:0.3293,G.loss:1.7608\n",
            "Epoch: 199/200-Batch\\h: 39/938--D.loss:0.3641,G.loss:1.6435\n",
            "Epoch: 199/200-Batch\\h: 40/938--D.loss:0.3336,G.loss:1.7694\n",
            "Epoch: 199/200-Batch\\h: 41/938--D.loss:0.4062,G.loss:1.6818\n",
            "Epoch: 199/200-Batch\\h: 42/938--D.loss:0.3661,G.loss:1.6075\n",
            "Epoch: 199/200-Batch\\h: 43/938--D.loss:0.3478,G.loss:1.3225\n",
            "Epoch: 199/200-Batch\\h: 44/938--D.loss:0.3402,G.loss:1.6780\n",
            "Epoch: 199/200-Batch\\h: 45/938--D.loss:0.3602,G.loss:1.7434\n",
            "Epoch: 199/200-Batch\\h: 46/938--D.loss:0.3839,G.loss:1.7024\n",
            "Epoch: 199/200-Batch\\h: 47/938--D.loss:0.3857,G.loss:1.6265\n",
            "Epoch: 199/200-Batch\\h: 48/938--D.loss:0.3920,G.loss:1.3711\n",
            "Epoch: 199/200-Batch\\h: 49/938--D.loss:0.3830,G.loss:1.7802\n",
            "Epoch: 199/200-Batch\\h: 50/938--D.loss:0.3444,G.loss:1.6076\n",
            "Epoch: 199/200-Batch\\h: 51/938--D.loss:0.3548,G.loss:1.5771\n",
            "Epoch: 199/200-Batch\\h: 52/938--D.loss:0.2737,G.loss:1.8512\n",
            "Epoch: 199/200-Batch\\h: 53/938--D.loss:0.3519,G.loss:2.0785\n",
            "Epoch: 199/200-Batch\\h: 54/938--D.loss:0.4320,G.loss:1.5531\n",
            "Epoch: 199/200-Batch\\h: 55/938--D.loss:0.3546,G.loss:1.6454\n",
            "Epoch: 199/200-Batch\\h: 56/938--D.loss:0.3491,G.loss:1.8099\n",
            "Epoch: 199/200-Batch\\h: 57/938--D.loss:0.3834,G.loss:1.5933\n",
            "Epoch: 199/200-Batch\\h: 58/938--D.loss:0.3032,G.loss:1.3925\n",
            "Epoch: 199/200-Batch\\h: 59/938--D.loss:0.3474,G.loss:1.6086\n",
            "Epoch: 199/200-Batch\\h: 60/938--D.loss:0.3454,G.loss:1.8570\n",
            "Epoch: 199/200-Batch\\h: 61/938--D.loss:0.3364,G.loss:1.9347\n",
            "Epoch: 199/200-Batch\\h: 62/938--D.loss:0.3440,G.loss:1.3489\n",
            "Epoch: 199/200-Batch\\h: 63/938--D.loss:0.4251,G.loss:1.3787\n",
            "Epoch: 199/200-Batch\\h: 64/938--D.loss:0.3759,G.loss:1.9953\n",
            "Epoch: 199/200-Batch\\h: 65/938--D.loss:0.3184,G.loss:1.8146\n",
            "Epoch: 199/200-Batch\\h: 66/938--D.loss:0.3793,G.loss:1.5003\n",
            "Epoch: 199/200-Batch\\h: 67/938--D.loss:0.4052,G.loss:1.4598\n",
            "Epoch: 199/200-Batch\\h: 68/938--D.loss:0.3268,G.loss:1.7541\n",
            "Epoch: 199/200-Batch\\h: 69/938--D.loss:0.3911,G.loss:1.8504\n",
            "Epoch: 199/200-Batch\\h: 70/938--D.loss:0.3453,G.loss:1.3696\n",
            "Epoch: 199/200-Batch\\h: 71/938--D.loss:0.3468,G.loss:1.5568\n",
            "Epoch: 199/200-Batch\\h: 72/938--D.loss:0.4025,G.loss:1.8344\n",
            "Epoch: 199/200-Batch\\h: 73/938--D.loss:0.3577,G.loss:1.8787\n",
            "Epoch: 199/200-Batch\\h: 74/938--D.loss:0.4349,G.loss:1.8736\n",
            "Epoch: 199/200-Batch\\h: 75/938--D.loss:0.3056,G.loss:1.3796\n",
            "Epoch: 199/200-Batch\\h: 76/938--D.loss:0.3090,G.loss:1.6759\n",
            "Epoch: 199/200-Batch\\h: 77/938--D.loss:0.2643,G.loss:2.1294\n",
            "Epoch: 199/200-Batch\\h: 78/938--D.loss:0.3717,G.loss:1.5982\n",
            "Epoch: 199/200-Batch\\h: 79/938--D.loss:0.3490,G.loss:1.6075\n",
            "Epoch: 199/200-Batch\\h: 80/938--D.loss:0.3943,G.loss:1.7155\n",
            "Epoch: 199/200-Batch\\h: 81/938--D.loss:0.3822,G.loss:1.8448\n",
            "Epoch: 199/200-Batch\\h: 82/938--D.loss:0.3603,G.loss:1.5209\n",
            "Epoch: 199/200-Batch\\h: 83/938--D.loss:0.3822,G.loss:1.4111\n",
            "Epoch: 199/200-Batch\\h: 84/938--D.loss:0.3651,G.loss:1.7608\n",
            "Epoch: 199/200-Batch\\h: 85/938--D.loss:0.3831,G.loss:1.7958\n",
            "Epoch: 199/200-Batch\\h: 86/938--D.loss:0.3901,G.loss:1.4690\n",
            "Epoch: 199/200-Batch\\h: 87/938--D.loss:0.3751,G.loss:1.4869\n",
            "Epoch: 199/200-Batch\\h: 88/938--D.loss:0.3130,G.loss:1.6551\n",
            "Epoch: 199/200-Batch\\h: 89/938--D.loss:0.3818,G.loss:1.7564\n",
            "Epoch: 199/200-Batch\\h: 90/938--D.loss:0.3800,G.loss:1.7106\n",
            "Epoch: 199/200-Batch\\h: 91/938--D.loss:0.3100,G.loss:1.4541\n",
            "Epoch: 199/200-Batch\\h: 92/938--D.loss:0.3798,G.loss:1.8462\n",
            "Epoch: 199/200-Batch\\h: 93/938--D.loss:0.2761,G.loss:1.9178\n",
            "Epoch: 199/200-Batch\\h: 94/938--D.loss:0.3031,G.loss:1.8788\n",
            "Epoch: 199/200-Batch\\h: 95/938--D.loss:0.3169,G.loss:1.8188\n",
            "Epoch: 199/200-Batch\\h: 96/938--D.loss:0.2981,G.loss:1.6231\n",
            "Epoch: 199/200-Batch\\h: 97/938--D.loss:0.3509,G.loss:1.5756\n",
            "Epoch: 199/200-Batch\\h: 98/938--D.loss:0.3167,G.loss:1.5584\n",
            "Epoch: 199/200-Batch\\h: 99/938--D.loss:0.3393,G.loss:2.0795\n",
            "Epoch: 199/200-Batch\\h: 100/938--D.loss:0.3418,G.loss:1.6970\n",
            "Epoch: 199/200-Batch\\h: 101/938--D.loss:0.2699,G.loss:1.8232\n",
            "Epoch: 199/200-Batch\\h: 102/938--D.loss:0.3498,G.loss:1.9244\n",
            "Epoch: 199/200-Batch\\h: 103/938--D.loss:0.3858,G.loss:1.6455\n",
            "Epoch: 199/200-Batch\\h: 104/938--D.loss:0.3825,G.loss:1.4883\n",
            "Epoch: 199/200-Batch\\h: 105/938--D.loss:0.3961,G.loss:1.8401\n",
            "Epoch: 199/200-Batch\\h: 106/938--D.loss:0.3454,G.loss:1.4904\n",
            "Epoch: 199/200-Batch\\h: 107/938--D.loss:0.3870,G.loss:1.4624\n",
            "Epoch: 199/200-Batch\\h: 108/938--D.loss:0.4387,G.loss:1.7821\n",
            "Epoch: 199/200-Batch\\h: 109/938--D.loss:0.3463,G.loss:1.5055\n",
            "Epoch: 199/200-Batch\\h: 110/938--D.loss:0.3401,G.loss:1.5828\n",
            "Epoch: 199/200-Batch\\h: 111/938--D.loss:0.4052,G.loss:1.7497\n",
            "Epoch: 199/200-Batch\\h: 112/938--D.loss:0.3609,G.loss:1.7181\n",
            "Epoch: 199/200-Batch\\h: 113/938--D.loss:0.3238,G.loss:1.6509\n",
            "Epoch: 199/200-Batch\\h: 114/938--D.loss:0.3966,G.loss:1.5399\n",
            "Epoch: 199/200-Batch\\h: 115/938--D.loss:0.3080,G.loss:1.7783\n",
            "Epoch: 199/200-Batch\\h: 116/938--D.loss:0.3464,G.loss:1.8461\n",
            "Epoch: 199/200-Batch\\h: 117/938--D.loss:0.3824,G.loss:1.5705\n",
            "Epoch: 199/200-Batch\\h: 118/938--D.loss:0.2993,G.loss:1.7579\n",
            "Epoch: 199/200-Batch\\h: 119/938--D.loss:0.2821,G.loss:1.9172\n",
            "Epoch: 199/200-Batch\\h: 120/938--D.loss:0.3612,G.loss:1.5434\n",
            "Epoch: 199/200-Batch\\h: 121/938--D.loss:0.3322,G.loss:1.9533\n",
            "Epoch: 199/200-Batch\\h: 122/938--D.loss:0.3048,G.loss:1.7570\n",
            "Epoch: 199/200-Batch\\h: 123/938--D.loss:0.3550,G.loss:1.3276\n",
            "Epoch: 199/200-Batch\\h: 124/938--D.loss:0.3487,G.loss:1.8895\n",
            "Epoch: 199/200-Batch\\h: 125/938--D.loss:0.2908,G.loss:1.8214\n",
            "Epoch: 199/200-Batch\\h: 126/938--D.loss:0.3585,G.loss:1.6838\n",
            "Epoch: 199/200-Batch\\h: 127/938--D.loss:0.3537,G.loss:1.5287\n",
            "Epoch: 199/200-Batch\\h: 128/938--D.loss:0.3341,G.loss:1.8016\n",
            "Epoch: 199/200-Batch\\h: 129/938--D.loss:0.2925,G.loss:1.7073\n",
            "Epoch: 199/200-Batch\\h: 130/938--D.loss:0.3533,G.loss:1.6826\n",
            "Epoch: 199/200-Batch\\h: 131/938--D.loss:0.3584,G.loss:1.7191\n",
            "Epoch: 199/200-Batch\\h: 132/938--D.loss:0.3540,G.loss:1.7204\n",
            "Epoch: 199/200-Batch\\h: 133/938--D.loss:0.3056,G.loss:1.7706\n",
            "Epoch: 199/200-Batch\\h: 134/938--D.loss:0.3425,G.loss:1.6717\n",
            "Epoch: 199/200-Batch\\h: 135/938--D.loss:0.3213,G.loss:1.8528\n",
            "Epoch: 199/200-Batch\\h: 136/938--D.loss:0.3656,G.loss:1.7948\n",
            "Epoch: 199/200-Batch\\h: 137/938--D.loss:0.4094,G.loss:1.7239\n",
            "Epoch: 199/200-Batch\\h: 138/938--D.loss:0.4842,G.loss:1.1994\n",
            "Epoch: 199/200-Batch\\h: 139/938--D.loss:0.3037,G.loss:1.5716\n",
            "Epoch: 199/200-Batch\\h: 140/938--D.loss:0.3817,G.loss:1.7885\n",
            "Epoch: 199/200-Batch\\h: 141/938--D.loss:0.3275,G.loss:1.7932\n",
            "Epoch: 199/200-Batch\\h: 142/938--D.loss:0.3577,G.loss:1.3746\n",
            "Epoch: 199/200-Batch\\h: 143/938--D.loss:0.3467,G.loss:1.8495\n",
            "Epoch: 199/200-Batch\\h: 144/938--D.loss:0.3734,G.loss:1.6530\n",
            "Epoch: 199/200-Batch\\h: 145/938--D.loss:0.3637,G.loss:1.3522\n",
            "Epoch: 199/200-Batch\\h: 146/938--D.loss:0.3446,G.loss:2.0035\n",
            "Epoch: 199/200-Batch\\h: 147/938--D.loss:0.3266,G.loss:1.5157\n",
            "Epoch: 199/200-Batch\\h: 148/938--D.loss:0.3342,G.loss:1.6981\n",
            "Epoch: 199/200-Batch\\h: 149/938--D.loss:0.3635,G.loss:1.8133\n",
            "Epoch: 199/200-Batch\\h: 150/938--D.loss:0.4056,G.loss:1.7282\n",
            "Epoch: 199/200-Batch\\h: 151/938--D.loss:0.3849,G.loss:1.3921\n",
            "Epoch: 199/200-Batch\\h: 152/938--D.loss:0.3418,G.loss:1.4844\n",
            "Epoch: 199/200-Batch\\h: 153/938--D.loss:0.3326,G.loss:1.8666\n",
            "Epoch: 199/200-Batch\\h: 154/938--D.loss:0.3358,G.loss:1.8328\n",
            "Epoch: 199/200-Batch\\h: 155/938--D.loss:0.4216,G.loss:1.3683\n",
            "Epoch: 199/200-Batch\\h: 156/938--D.loss:0.4267,G.loss:1.5406\n",
            "Epoch: 199/200-Batch\\h: 157/938--D.loss:0.3778,G.loss:1.6740\n",
            "Epoch: 199/200-Batch\\h: 158/938--D.loss:0.3383,G.loss:1.3563\n",
            "Epoch: 199/200-Batch\\h: 159/938--D.loss:0.3068,G.loss:1.8320\n",
            "Epoch: 199/200-Batch\\h: 160/938--D.loss:0.4482,G.loss:1.8174\n",
            "Epoch: 199/200-Batch\\h: 161/938--D.loss:0.3690,G.loss:1.5121\n",
            "Epoch: 199/200-Batch\\h: 162/938--D.loss:0.3111,G.loss:1.6643\n",
            "Epoch: 199/200-Batch\\h: 163/938--D.loss:0.4026,G.loss:1.5789\n",
            "Epoch: 199/200-Batch\\h: 164/938--D.loss:0.3521,G.loss:1.6233\n",
            "Epoch: 199/200-Batch\\h: 165/938--D.loss:0.4456,G.loss:1.5415\n",
            "Epoch: 199/200-Batch\\h: 166/938--D.loss:0.3569,G.loss:1.4300\n",
            "Epoch: 199/200-Batch\\h: 167/938--D.loss:0.3718,G.loss:1.6197\n",
            "Epoch: 199/200-Batch\\h: 168/938--D.loss:0.4033,G.loss:1.6180\n",
            "Epoch: 199/200-Batch\\h: 169/938--D.loss:0.3664,G.loss:1.8103\n",
            "Epoch: 199/200-Batch\\h: 170/938--D.loss:0.3562,G.loss:1.4357\n",
            "Epoch: 199/200-Batch\\h: 171/938--D.loss:0.3556,G.loss:1.7413\n",
            "Epoch: 199/200-Batch\\h: 172/938--D.loss:0.3507,G.loss:1.6371\n",
            "Epoch: 199/200-Batch\\h: 173/938--D.loss:0.3578,G.loss:1.5023\n",
            "Epoch: 199/200-Batch\\h: 174/938--D.loss:0.3723,G.loss:1.8917\n",
            "Epoch: 199/200-Batch\\h: 175/938--D.loss:0.3255,G.loss:1.8272\n",
            "Epoch: 199/200-Batch\\h: 176/938--D.loss:0.3716,G.loss:1.4786\n",
            "Epoch: 199/200-Batch\\h: 177/938--D.loss:0.3398,G.loss:1.5371\n",
            "Epoch: 199/200-Batch\\h: 178/938--D.loss:0.3365,G.loss:1.5949\n",
            "Epoch: 199/200-Batch\\h: 179/938--D.loss:0.3691,G.loss:1.9324\n",
            "Epoch: 199/200-Batch\\h: 180/938--D.loss:0.2959,G.loss:1.7595\n",
            "Epoch: 199/200-Batch\\h: 181/938--D.loss:0.3679,G.loss:1.7732\n",
            "Epoch: 199/200-Batch\\h: 182/938--D.loss:0.4493,G.loss:1.5445\n",
            "Epoch: 199/200-Batch\\h: 183/938--D.loss:0.3084,G.loss:1.7091\n",
            "Epoch: 199/200-Batch\\h: 184/938--D.loss:0.3296,G.loss:1.5661\n",
            "Epoch: 199/200-Batch\\h: 185/938--D.loss:0.3168,G.loss:1.6202\n",
            "Epoch: 199/200-Batch\\h: 186/938--D.loss:0.3267,G.loss:2.0274\n",
            "Epoch: 199/200-Batch\\h: 187/938--D.loss:0.3895,G.loss:1.5713\n",
            "Epoch: 199/200-Batch\\h: 188/938--D.loss:0.3908,G.loss:1.7768\n",
            "Epoch: 199/200-Batch\\h: 189/938--D.loss:0.3637,G.loss:1.6600\n",
            "Epoch: 199/200-Batch\\h: 190/938--D.loss:0.3521,G.loss:1.4326\n",
            "Epoch: 199/200-Batch\\h: 191/938--D.loss:0.3421,G.loss:1.7818\n",
            "Epoch: 199/200-Batch\\h: 192/938--D.loss:0.3241,G.loss:1.9425\n",
            "Epoch: 199/200-Batch\\h: 193/938--D.loss:0.4211,G.loss:1.6101\n",
            "Epoch: 199/200-Batch\\h: 194/938--D.loss:0.4561,G.loss:1.3378\n",
            "Epoch: 199/200-Batch\\h: 195/938--D.loss:0.3859,G.loss:1.6984\n",
            "Epoch: 199/200-Batch\\h: 196/938--D.loss:0.3185,G.loss:1.8940\n",
            "Epoch: 199/200-Batch\\h: 197/938--D.loss:0.3608,G.loss:1.5203\n",
            "Epoch: 199/200-Batch\\h: 198/938--D.loss:0.3328,G.loss:1.4910\n",
            "Epoch: 199/200-Batch\\h: 199/938--D.loss:0.2849,G.loss:1.6170\n",
            "Epoch: 199/200-Batch\\h: 200/938--D.loss:0.3941,G.loss:2.0491\n",
            "Epoch: 199/200-Batch\\h: 201/938--D.loss:0.3233,G.loss:1.8263\n",
            "Epoch: 199/200-Batch\\h: 202/938--D.loss:0.2616,G.loss:1.6270\n",
            "Epoch: 199/200-Batch\\h: 203/938--D.loss:0.3528,G.loss:2.0902\n",
            "Epoch: 199/200-Batch\\h: 204/938--D.loss:0.4032,G.loss:1.6953\n",
            "Epoch: 199/200-Batch\\h: 205/938--D.loss:0.3496,G.loss:1.8356\n",
            "Epoch: 199/200-Batch\\h: 206/938--D.loss:0.3525,G.loss:1.3306\n",
            "Epoch: 199/200-Batch\\h: 207/938--D.loss:0.3443,G.loss:1.9539\n",
            "Epoch: 199/200-Batch\\h: 208/938--D.loss:0.3871,G.loss:1.7796\n",
            "Epoch: 199/200-Batch\\h: 209/938--D.loss:0.3592,G.loss:1.6498\n",
            "Epoch: 199/200-Batch\\h: 210/938--D.loss:0.3318,G.loss:1.9846\n",
            "Epoch: 199/200-Batch\\h: 211/938--D.loss:0.3395,G.loss:1.6256\n",
            "Epoch: 199/200-Batch\\h: 212/938--D.loss:0.4786,G.loss:1.3450\n",
            "Epoch: 199/200-Batch\\h: 213/938--D.loss:0.3034,G.loss:1.7958\n",
            "Epoch: 199/200-Batch\\h: 214/938--D.loss:0.4131,G.loss:2.0528\n",
            "Epoch: 199/200-Batch\\h: 215/938--D.loss:0.3837,G.loss:1.1656\n",
            "Epoch: 199/200-Batch\\h: 216/938--D.loss:0.4051,G.loss:1.4577\n",
            "Epoch: 199/200-Batch\\h: 217/938--D.loss:0.3126,G.loss:1.5735\n",
            "Epoch: 199/200-Batch\\h: 218/938--D.loss:0.3302,G.loss:1.8740\n",
            "Epoch: 199/200-Batch\\h: 219/938--D.loss:0.3102,G.loss:1.9078\n",
            "Epoch: 199/200-Batch\\h: 220/938--D.loss:0.3786,G.loss:1.6094\n",
            "Epoch: 199/200-Batch\\h: 221/938--D.loss:0.3021,G.loss:1.5730\n",
            "Epoch: 199/200-Batch\\h: 222/938--D.loss:0.4410,G.loss:1.9443\n",
            "Epoch: 199/200-Batch\\h: 223/938--D.loss:0.3996,G.loss:1.5565\n",
            "Epoch: 199/200-Batch\\h: 224/938--D.loss:0.3574,G.loss:1.4358\n",
            "Epoch: 199/200-Batch\\h: 225/938--D.loss:0.3783,G.loss:1.5144\n",
            "Epoch: 199/200-Batch\\h: 226/938--D.loss:0.3804,G.loss:1.7368\n",
            "Epoch: 199/200-Batch\\h: 227/938--D.loss:0.3451,G.loss:1.5830\n",
            "Epoch: 199/200-Batch\\h: 228/938--D.loss:0.4162,G.loss:1.3990\n",
            "Epoch: 199/200-Batch\\h: 229/938--D.loss:0.3442,G.loss:1.6564\n",
            "Epoch: 199/200-Batch\\h: 230/938--D.loss:0.3661,G.loss:1.6537\n",
            "Epoch: 199/200-Batch\\h: 231/938--D.loss:0.3507,G.loss:1.8112\n",
            "Epoch: 199/200-Batch\\h: 232/938--D.loss:0.3935,G.loss:1.3516\n",
            "Epoch: 199/200-Batch\\h: 233/938--D.loss:0.4058,G.loss:1.5188\n",
            "Epoch: 199/200-Batch\\h: 234/938--D.loss:0.4008,G.loss:1.7798\n",
            "Epoch: 199/200-Batch\\h: 235/938--D.loss:0.3958,G.loss:1.4064\n",
            "Epoch: 199/200-Batch\\h: 236/938--D.loss:0.4092,G.loss:1.2727\n",
            "Epoch: 199/200-Batch\\h: 237/938--D.loss:0.2592,G.loss:1.7007\n",
            "Epoch: 199/200-Batch\\h: 238/938--D.loss:0.2846,G.loss:2.0039\n",
            "Epoch: 199/200-Batch\\h: 239/938--D.loss:0.4065,G.loss:2.0168\n",
            "Epoch: 199/200-Batch\\h: 240/938--D.loss:0.4459,G.loss:1.8438\n",
            "Epoch: 199/200-Batch\\h: 241/938--D.loss:0.3235,G.loss:1.5959\n",
            "Epoch: 199/200-Batch\\h: 242/938--D.loss:0.3873,G.loss:1.2398\n",
            "Epoch: 199/200-Batch\\h: 243/938--D.loss:0.3673,G.loss:1.5380\n",
            "Epoch: 199/200-Batch\\h: 244/938--D.loss:0.3340,G.loss:1.5720\n",
            "Epoch: 199/200-Batch\\h: 245/938--D.loss:0.4445,G.loss:1.7581\n",
            "Epoch: 199/200-Batch\\h: 246/938--D.loss:0.4012,G.loss:1.1943\n",
            "Epoch: 199/200-Batch\\h: 247/938--D.loss:0.3955,G.loss:1.3495\n",
            "Epoch: 199/200-Batch\\h: 248/938--D.loss:0.3530,G.loss:1.7490\n",
            "Epoch: 199/200-Batch\\h: 249/938--D.loss:0.4514,G.loss:1.5592\n",
            "Epoch: 199/200-Batch\\h: 250/938--D.loss:0.4220,G.loss:1.4986\n",
            "Epoch: 199/200-Batch\\h: 251/938--D.loss:0.3487,G.loss:1.4020\n",
            "Epoch: 199/200-Batch\\h: 252/938--D.loss:0.2677,G.loss:1.7799\n",
            "Epoch: 199/200-Batch\\h: 253/938--D.loss:0.3252,G.loss:1.8101\n",
            "Epoch: 199/200-Batch\\h: 254/938--D.loss:0.3447,G.loss:1.8123\n",
            "Epoch: 199/200-Batch\\h: 255/938--D.loss:0.3741,G.loss:1.5619\n",
            "Epoch: 199/200-Batch\\h: 256/938--D.loss:0.3333,G.loss:2.1594\n",
            "Epoch: 199/200-Batch\\h: 257/938--D.loss:0.2973,G.loss:1.7097\n",
            "Epoch: 199/200-Batch\\h: 258/938--D.loss:0.4305,G.loss:1.6598\n",
            "Epoch: 199/200-Batch\\h: 259/938--D.loss:0.3752,G.loss:1.4932\n",
            "Epoch: 199/200-Batch\\h: 260/938--D.loss:0.3854,G.loss:1.6055\n",
            "Epoch: 199/200-Batch\\h: 261/938--D.loss:0.3915,G.loss:1.3890\n",
            "Epoch: 199/200-Batch\\h: 262/938--D.loss:0.2790,G.loss:1.5605\n",
            "Epoch: 199/200-Batch\\h: 263/938--D.loss:0.3642,G.loss:1.8078\n",
            "Epoch: 199/200-Batch\\h: 264/938--D.loss:0.3469,G.loss:1.9179\n",
            "Epoch: 199/200-Batch\\h: 265/938--D.loss:0.3108,G.loss:1.4695\n",
            "Epoch: 199/200-Batch\\h: 266/938--D.loss:0.3767,G.loss:1.5521\n",
            "Epoch: 199/200-Batch\\h: 267/938--D.loss:0.4584,G.loss:1.8490\n",
            "Epoch: 199/200-Batch\\h: 268/938--D.loss:0.2910,G.loss:1.4878\n",
            "Epoch: 199/200-Batch\\h: 269/938--D.loss:0.2857,G.loss:1.6432\n",
            "Epoch: 199/200-Batch\\h: 270/938--D.loss:0.2991,G.loss:2.0244\n",
            "Epoch: 199/200-Batch\\h: 271/938--D.loss:0.3797,G.loss:1.6354\n",
            "Epoch: 199/200-Batch\\h: 272/938--D.loss:0.3567,G.loss:1.9490\n",
            "Epoch: 199/200-Batch\\h: 273/938--D.loss:0.3743,G.loss:1.5811\n",
            "Epoch: 199/200-Batch\\h: 274/938--D.loss:0.4406,G.loss:1.4799\n",
            "Epoch: 199/200-Batch\\h: 275/938--D.loss:0.3047,G.loss:1.6274\n",
            "Epoch: 199/200-Batch\\h: 276/938--D.loss:0.3591,G.loss:1.6796\n",
            "Epoch: 199/200-Batch\\h: 277/938--D.loss:0.2929,G.loss:1.7706\n",
            "Epoch: 199/200-Batch\\h: 278/938--D.loss:0.3478,G.loss:1.5986\n",
            "Epoch: 199/200-Batch\\h: 279/938--D.loss:0.3675,G.loss:1.5978\n",
            "Epoch: 199/200-Batch\\h: 280/938--D.loss:0.3184,G.loss:1.5038\n",
            "Epoch: 199/200-Batch\\h: 281/938--D.loss:0.3627,G.loss:1.8562\n",
            "Epoch: 199/200-Batch\\h: 282/938--D.loss:0.3972,G.loss:1.8555\n",
            "Epoch: 199/200-Batch\\h: 283/938--D.loss:0.3040,G.loss:1.5239\n",
            "Epoch: 199/200-Batch\\h: 284/938--D.loss:0.3340,G.loss:1.4772\n",
            "Epoch: 199/200-Batch\\h: 285/938--D.loss:0.3960,G.loss:1.6548\n",
            "Epoch: 199/200-Batch\\h: 286/938--D.loss:0.3987,G.loss:1.7163\n",
            "Epoch: 199/200-Batch\\h: 287/938--D.loss:0.2630,G.loss:1.6157\n",
            "Epoch: 199/200-Batch\\h: 288/938--D.loss:0.4218,G.loss:1.9937\n",
            "Epoch: 199/200-Batch\\h: 289/938--D.loss:0.3755,G.loss:1.6885\n",
            "Epoch: 199/200-Batch\\h: 290/938--D.loss:0.3202,G.loss:1.3980\n",
            "Epoch: 199/200-Batch\\h: 291/938--D.loss:0.3236,G.loss:1.8743\n",
            "Epoch: 199/200-Batch\\h: 292/938--D.loss:0.3877,G.loss:1.8413\n",
            "Epoch: 199/200-Batch\\h: 293/938--D.loss:0.3325,G.loss:1.4660\n",
            "Epoch: 199/200-Batch\\h: 294/938--D.loss:0.3454,G.loss:1.8263\n",
            "Epoch: 199/200-Batch\\h: 295/938--D.loss:0.3120,G.loss:1.9513\n",
            "Epoch: 199/200-Batch\\h: 296/938--D.loss:0.3574,G.loss:1.5490\n",
            "Epoch: 199/200-Batch\\h: 297/938--D.loss:0.4104,G.loss:1.8559\n",
            "Epoch: 199/200-Batch\\h: 298/938--D.loss:0.3249,G.loss:1.7332\n",
            "Epoch: 199/200-Batch\\h: 299/938--D.loss:0.2756,G.loss:1.9706\n",
            "Epoch: 199/200-Batch\\h: 300/938--D.loss:0.3142,G.loss:1.9269\n",
            "Epoch: 199/200-Batch\\h: 301/938--D.loss:0.3585,G.loss:1.5855\n",
            "Epoch: 199/200-Batch\\h: 302/938--D.loss:0.3658,G.loss:1.3772\n",
            "Epoch: 199/200-Batch\\h: 303/938--D.loss:0.3724,G.loss:1.6572\n",
            "Epoch: 199/200-Batch\\h: 304/938--D.loss:0.3124,G.loss:1.8223\n",
            "Epoch: 199/200-Batch\\h: 305/938--D.loss:0.4026,G.loss:1.7528\n",
            "Epoch: 199/200-Batch\\h: 306/938--D.loss:0.4750,G.loss:1.4694\n",
            "Epoch: 199/200-Batch\\h: 307/938--D.loss:0.3299,G.loss:1.7895\n",
            "Epoch: 199/200-Batch\\h: 308/938--D.loss:0.3584,G.loss:1.8098\n",
            "Epoch: 199/200-Batch\\h: 309/938--D.loss:0.3865,G.loss:1.7345\n",
            "Epoch: 199/200-Batch\\h: 310/938--D.loss:0.3061,G.loss:1.6010\n",
            "Epoch: 199/200-Batch\\h: 311/938--D.loss:0.4118,G.loss:1.6356\n",
            "Epoch: 199/200-Batch\\h: 312/938--D.loss:0.2787,G.loss:1.7490\n",
            "Epoch: 199/200-Batch\\h: 313/938--D.loss:0.3332,G.loss:1.9486\n",
            "Epoch: 199/200-Batch\\h: 314/938--D.loss:0.3154,G.loss:1.8653\n",
            "Epoch: 199/200-Batch\\h: 315/938--D.loss:0.3505,G.loss:1.4323\n",
            "Epoch: 199/200-Batch\\h: 316/938--D.loss:0.3323,G.loss:1.6250\n",
            "Epoch: 199/200-Batch\\h: 317/938--D.loss:0.3406,G.loss:1.8623\n",
            "Epoch: 199/200-Batch\\h: 318/938--D.loss:0.3711,G.loss:1.8201\n",
            "Epoch: 199/200-Batch\\h: 319/938--D.loss:0.2948,G.loss:1.7137\n",
            "Epoch: 199/200-Batch\\h: 320/938--D.loss:0.4318,G.loss:1.5160\n",
            "Epoch: 199/200-Batch\\h: 321/938--D.loss:0.3956,G.loss:2.0010\n",
            "Epoch: 199/200-Batch\\h: 322/938--D.loss:0.3994,G.loss:1.3880\n",
            "Epoch: 199/200-Batch\\h: 323/938--D.loss:0.3600,G.loss:1.6268\n",
            "Epoch: 199/200-Batch\\h: 324/938--D.loss:0.3226,G.loss:1.5373\n",
            "Epoch: 199/200-Batch\\h: 325/938--D.loss:0.3272,G.loss:1.8719\n",
            "Epoch: 199/200-Batch\\h: 326/938--D.loss:0.4654,G.loss:1.8037\n",
            "Epoch: 199/200-Batch\\h: 327/938--D.loss:0.3665,G.loss:1.3082\n",
            "Epoch: 199/200-Batch\\h: 328/938--D.loss:0.3304,G.loss:1.5455\n",
            "Epoch: 199/200-Batch\\h: 329/938--D.loss:0.3290,G.loss:1.8976\n",
            "Epoch: 199/200-Batch\\h: 330/938--D.loss:0.3331,G.loss:1.7499\n",
            "Epoch: 199/200-Batch\\h: 331/938--D.loss:0.3057,G.loss:1.6096\n",
            "Epoch: 199/200-Batch\\h: 332/938--D.loss:0.3168,G.loss:1.4986\n",
            "Epoch: 199/200-Batch\\h: 333/938--D.loss:0.3017,G.loss:1.7581\n",
            "Epoch: 199/200-Batch\\h: 334/938--D.loss:0.3038,G.loss:1.7504\n",
            "Epoch: 199/200-Batch\\h: 335/938--D.loss:0.3597,G.loss:2.0085\n",
            "Epoch: 199/200-Batch\\h: 336/938--D.loss:0.2947,G.loss:1.6333\n",
            "Epoch: 199/200-Batch\\h: 337/938--D.loss:0.3288,G.loss:1.7842\n",
            "Epoch: 199/200-Batch\\h: 338/938--D.loss:0.4398,G.loss:1.5169\n",
            "Epoch: 199/200-Batch\\h: 339/938--D.loss:0.3494,G.loss:1.6694\n",
            "Epoch: 199/200-Batch\\h: 340/938--D.loss:0.3036,G.loss:1.9001\n",
            "Epoch: 199/200-Batch\\h: 341/938--D.loss:0.3561,G.loss:1.4585\n",
            "Epoch: 199/200-Batch\\h: 342/938--D.loss:0.3376,G.loss:1.7283\n",
            "Epoch: 199/200-Batch\\h: 343/938--D.loss:0.4020,G.loss:1.7388\n",
            "Epoch: 199/200-Batch\\h: 344/938--D.loss:0.3670,G.loss:1.4315\n",
            "Epoch: 199/200-Batch\\h: 345/938--D.loss:0.3829,G.loss:1.8962\n",
            "Epoch: 199/200-Batch\\h: 346/938--D.loss:0.3713,G.loss:1.5750\n",
            "Epoch: 199/200-Batch\\h: 347/938--D.loss:0.3078,G.loss:1.4705\n",
            "Epoch: 199/200-Batch\\h: 348/938--D.loss:0.3144,G.loss:1.8564\n",
            "Epoch: 199/200-Batch\\h: 349/938--D.loss:0.3473,G.loss:2.0895\n",
            "Epoch: 199/200-Batch\\h: 350/938--D.loss:0.3501,G.loss:1.9680\n",
            "Epoch: 199/200-Batch\\h: 351/938--D.loss:0.3703,G.loss:1.1950\n",
            "Epoch: 199/200-Batch\\h: 352/938--D.loss:0.3303,G.loss:1.5549\n",
            "Epoch: 199/200-Batch\\h: 353/938--D.loss:0.4353,G.loss:2.0950\n",
            "Epoch: 199/200-Batch\\h: 354/938--D.loss:0.4399,G.loss:1.6871\n",
            "Epoch: 199/200-Batch\\h: 355/938--D.loss:0.3961,G.loss:1.0394\n",
            "Epoch: 199/200-Batch\\h: 356/938--D.loss:0.3437,G.loss:1.7687\n",
            "Epoch: 199/200-Batch\\h: 357/938--D.loss:0.3413,G.loss:1.8286\n",
            "Epoch: 199/200-Batch\\h: 358/938--D.loss:0.4546,G.loss:1.6856\n",
            "Epoch: 199/200-Batch\\h: 359/938--D.loss:0.3640,G.loss:1.7547\n",
            "Epoch: 199/200-Batch\\h: 360/938--D.loss:0.3991,G.loss:1.2350\n",
            "Epoch: 199/200-Batch\\h: 361/938--D.loss:0.3414,G.loss:1.6677\n",
            "Epoch: 199/200-Batch\\h: 362/938--D.loss:0.3475,G.loss:1.7984\n",
            "Epoch: 199/200-Batch\\h: 363/938--D.loss:0.3176,G.loss:1.8837\n",
            "Epoch: 199/200-Batch\\h: 364/938--D.loss:0.3135,G.loss:1.6263\n",
            "Epoch: 199/200-Batch\\h: 365/938--D.loss:0.3975,G.loss:1.4494\n",
            "Epoch: 199/200-Batch\\h: 366/938--D.loss:0.3966,G.loss:1.9302\n",
            "Epoch: 199/200-Batch\\h: 367/938--D.loss:0.4440,G.loss:1.7390\n",
            "Epoch: 199/200-Batch\\h: 368/938--D.loss:0.5586,G.loss:1.4042\n",
            "Epoch: 199/200-Batch\\h: 369/938--D.loss:0.3622,G.loss:1.2195\n",
            "Epoch: 199/200-Batch\\h: 370/938--D.loss:0.3828,G.loss:1.4528\n",
            "Epoch: 199/200-Batch\\h: 371/938--D.loss:0.3783,G.loss:1.9013\n",
            "Epoch: 199/200-Batch\\h: 372/938--D.loss:0.3650,G.loss:1.5616\n",
            "Epoch: 199/200-Batch\\h: 373/938--D.loss:0.3812,G.loss:1.4773\n",
            "Epoch: 199/200-Batch\\h: 374/938--D.loss:0.3306,G.loss:1.8963\n",
            "Epoch: 199/200-Batch\\h: 375/938--D.loss:0.3498,G.loss:1.8620\n",
            "Epoch: 199/200-Batch\\h: 376/938--D.loss:0.3388,G.loss:1.4468\n",
            "Epoch: 199/200-Batch\\h: 377/938--D.loss:0.3819,G.loss:1.7735\n",
            "Epoch: 199/200-Batch\\h: 378/938--D.loss:0.3939,G.loss:1.5378\n",
            "Epoch: 199/200-Batch\\h: 379/938--D.loss:0.2989,G.loss:1.7482\n",
            "Epoch: 199/200-Batch\\h: 380/938--D.loss:0.3136,G.loss:1.7154\n",
            "Epoch: 199/200-Batch\\h: 381/938--D.loss:0.3751,G.loss:1.5879\n",
            "Epoch: 199/200-Batch\\h: 382/938--D.loss:0.3484,G.loss:1.5485\n",
            "Epoch: 199/200-Batch\\h: 383/938--D.loss:0.3503,G.loss:1.7597\n",
            "Epoch: 199/200-Batch\\h: 384/938--D.loss:0.3663,G.loss:1.9582\n",
            "Epoch: 199/200-Batch\\h: 385/938--D.loss:0.4557,G.loss:1.4971\n",
            "Epoch: 199/200-Batch\\h: 386/938--D.loss:0.3799,G.loss:1.5580\n",
            "Epoch: 199/200-Batch\\h: 387/938--D.loss:0.3778,G.loss:1.7098\n",
            "Epoch: 199/200-Batch\\h: 388/938--D.loss:0.3650,G.loss:1.3316\n",
            "Epoch: 199/200-Batch\\h: 389/938--D.loss:0.4061,G.loss:1.8126\n",
            "Epoch: 199/200-Batch\\h: 390/938--D.loss:0.3875,G.loss:1.7575\n",
            "Epoch: 199/200-Batch\\h: 391/938--D.loss:0.3882,G.loss:1.4010\n",
            "Epoch: 199/200-Batch\\h: 392/938--D.loss:0.3078,G.loss:1.7084\n",
            "Epoch: 199/200-Batch\\h: 393/938--D.loss:0.4194,G.loss:2.1546\n",
            "Epoch: 199/200-Batch\\h: 394/938--D.loss:0.4347,G.loss:1.4418\n",
            "Epoch: 199/200-Batch\\h: 395/938--D.loss:0.4217,G.loss:1.4582\n",
            "Epoch: 199/200-Batch\\h: 396/938--D.loss:0.2960,G.loss:1.6887\n",
            "Epoch: 199/200-Batch\\h: 397/938--D.loss:0.3376,G.loss:2.0824\n",
            "Epoch: 199/200-Batch\\h: 398/938--D.loss:0.2987,G.loss:1.7677\n",
            "Epoch: 199/200-Batch\\h: 399/938--D.loss:0.3499,G.loss:1.4462\n",
            "Epoch: 199/200-Batch\\h: 400/938--D.loss:0.3794,G.loss:1.4463\n",
            "Epoch: 199/200-Batch\\h: 401/938--D.loss:0.2970,G.loss:1.8019\n",
            "Epoch: 199/200-Batch\\h: 402/938--D.loss:0.4639,G.loss:2.0161\n",
            "Epoch: 199/200-Batch\\h: 403/938--D.loss:0.4032,G.loss:1.4537\n",
            "Epoch: 199/200-Batch\\h: 404/938--D.loss:0.3469,G.loss:1.5419\n",
            "Epoch: 199/200-Batch\\h: 405/938--D.loss:0.3521,G.loss:1.4321\n",
            "Epoch: 199/200-Batch\\h: 406/938--D.loss:0.3833,G.loss:1.7271\n",
            "Epoch: 199/200-Batch\\h: 407/938--D.loss:0.3167,G.loss:1.6141\n",
            "Epoch: 199/200-Batch\\h: 408/938--D.loss:0.3424,G.loss:1.7235\n",
            "Epoch: 199/200-Batch\\h: 409/938--D.loss:0.3873,G.loss:1.7006\n",
            "Epoch: 199/200-Batch\\h: 410/938--D.loss:0.3064,G.loss:1.4986\n",
            "Epoch: 199/200-Batch\\h: 411/938--D.loss:0.3926,G.loss:1.5676\n",
            "Epoch: 199/200-Batch\\h: 412/938--D.loss:0.4528,G.loss:1.9295\n",
            "Epoch: 199/200-Batch\\h: 413/938--D.loss:0.3858,G.loss:1.3273\n",
            "Epoch: 199/200-Batch\\h: 414/938--D.loss:0.2855,G.loss:1.7542\n",
            "Epoch: 199/200-Batch\\h: 415/938--D.loss:0.3772,G.loss:1.6492\n",
            "Epoch: 199/200-Batch\\h: 416/938--D.loss:0.3853,G.loss:1.8895\n",
            "Epoch: 199/200-Batch\\h: 417/938--D.loss:0.3151,G.loss:1.6394\n",
            "Epoch: 199/200-Batch\\h: 418/938--D.loss:0.3558,G.loss:1.4314\n",
            "Epoch: 199/200-Batch\\h: 419/938--D.loss:0.4019,G.loss:1.7962\n",
            "Epoch: 199/200-Batch\\h: 420/938--D.loss:0.3569,G.loss:1.7887\n",
            "Epoch: 199/200-Batch\\h: 421/938--D.loss:0.4136,G.loss:1.2903\n",
            "Epoch: 199/200-Batch\\h: 422/938--D.loss:0.3035,G.loss:1.8371\n",
            "Epoch: 199/200-Batch\\h: 423/938--D.loss:0.5088,G.loss:1.9359\n",
            "Epoch: 199/200-Batch\\h: 424/938--D.loss:0.3041,G.loss:1.4883\n",
            "Epoch: 199/200-Batch\\h: 425/938--D.loss:0.3258,G.loss:1.5825\n",
            "Epoch: 199/200-Batch\\h: 426/938--D.loss:0.3700,G.loss:1.8557\n",
            "Epoch: 199/200-Batch\\h: 427/938--D.loss:0.2798,G.loss:1.7853\n",
            "Epoch: 199/200-Batch\\h: 428/938--D.loss:0.2989,G.loss:1.7570\n",
            "Epoch: 199/200-Batch\\h: 429/938--D.loss:0.3081,G.loss:1.8908\n",
            "Epoch: 199/200-Batch\\h: 430/938--D.loss:0.3216,G.loss:1.9870\n",
            "Epoch: 199/200-Batch\\h: 431/938--D.loss:0.2834,G.loss:1.6716\n",
            "Epoch: 199/200-Batch\\h: 432/938--D.loss:0.3060,G.loss:1.8559\n",
            "Epoch: 199/200-Batch\\h: 433/938--D.loss:0.3955,G.loss:2.1329\n",
            "Epoch: 199/200-Batch\\h: 434/938--D.loss:0.3304,G.loss:1.5616\n",
            "Epoch: 199/200-Batch\\h: 435/938--D.loss:0.4169,G.loss:1.8982\n",
            "Epoch: 199/200-Batch\\h: 436/938--D.loss:0.4109,G.loss:1.6093\n",
            "Epoch: 199/200-Batch\\h: 437/938--D.loss:0.3721,G.loss:1.3152\n",
            "Epoch: 199/200-Batch\\h: 438/938--D.loss:0.3340,G.loss:1.6523\n",
            "Epoch: 199/200-Batch\\h: 439/938--D.loss:0.2986,G.loss:1.9662\n",
            "Epoch: 199/200-Batch\\h: 440/938--D.loss:0.3153,G.loss:1.8531\n",
            "Epoch: 199/200-Batch\\h: 441/938--D.loss:0.4214,G.loss:1.5375\n",
            "Epoch: 199/200-Batch\\h: 442/938--D.loss:0.3634,G.loss:1.4126\n",
            "Epoch: 199/200-Batch\\h: 443/938--D.loss:0.3806,G.loss:1.8105\n",
            "Epoch: 199/200-Batch\\h: 444/938--D.loss:0.4552,G.loss:1.6607\n",
            "Epoch: 199/200-Batch\\h: 445/938--D.loss:0.2792,G.loss:1.3853\n",
            "Epoch: 199/200-Batch\\h: 446/938--D.loss:0.3172,G.loss:1.8272\n",
            "Epoch: 199/200-Batch\\h: 447/938--D.loss:0.2621,G.loss:1.6894\n",
            "Epoch: 199/200-Batch\\h: 448/938--D.loss:0.3301,G.loss:1.6705\n",
            "Epoch: 199/200-Batch\\h: 449/938--D.loss:0.4299,G.loss:2.1710\n",
            "Epoch: 199/200-Batch\\h: 450/938--D.loss:0.3197,G.loss:1.7428\n",
            "Epoch: 199/200-Batch\\h: 451/938--D.loss:0.3790,G.loss:1.4032\n",
            "Epoch: 199/200-Batch\\h: 452/938--D.loss:0.3673,G.loss:1.5660\n",
            "Epoch: 199/200-Batch\\h: 453/938--D.loss:0.4702,G.loss:1.9644\n",
            "Epoch: 199/200-Batch\\h: 454/938--D.loss:0.3420,G.loss:1.3604\n",
            "Epoch: 199/200-Batch\\h: 455/938--D.loss:0.2851,G.loss:1.4997\n",
            "Epoch: 199/200-Batch\\h: 456/938--D.loss:0.4873,G.loss:1.5721\n",
            "Epoch: 199/200-Batch\\h: 457/938--D.loss:0.3530,G.loss:1.7256\n",
            "Epoch: 199/200-Batch\\h: 458/938--D.loss:0.4230,G.loss:1.5103\n",
            "Epoch: 199/200-Batch\\h: 459/938--D.loss:0.3151,G.loss:1.4840\n",
            "Epoch: 199/200-Batch\\h: 460/938--D.loss:0.3681,G.loss:1.8064\n",
            "Epoch: 199/200-Batch\\h: 461/938--D.loss:0.3456,G.loss:1.5532\n",
            "Epoch: 199/200-Batch\\h: 462/938--D.loss:0.3843,G.loss:1.5076\n",
            "Epoch: 199/200-Batch\\h: 463/938--D.loss:0.3076,G.loss:1.9914\n",
            "Epoch: 199/200-Batch\\h: 464/938--D.loss:0.2519,G.loss:1.8925\n",
            "Epoch: 199/200-Batch\\h: 465/938--D.loss:0.3161,G.loss:1.8047\n",
            "Epoch: 199/200-Batch\\h: 466/938--D.loss:0.3947,G.loss:1.8575\n",
            "Epoch: 199/200-Batch\\h: 467/938--D.loss:0.3325,G.loss:1.6712\n",
            "Epoch: 199/200-Batch\\h: 468/938--D.loss:0.3318,G.loss:1.8238\n",
            "Epoch: 199/200-Batch\\h: 469/938--D.loss:0.3142,G.loss:1.7048\n",
            "Epoch: 199/200-Batch\\h: 470/938--D.loss:0.2974,G.loss:1.6088\n",
            "Epoch: 199/200-Batch\\h: 471/938--D.loss:0.3430,G.loss:1.8568\n",
            "Epoch: 199/200-Batch\\h: 472/938--D.loss:0.3321,G.loss:1.9238\n",
            "Epoch: 199/200-Batch\\h: 473/938--D.loss:0.3021,G.loss:1.7084\n",
            "Epoch: 199/200-Batch\\h: 474/938--D.loss:0.3819,G.loss:1.6115\n",
            "Epoch: 199/200-Batch\\h: 475/938--D.loss:0.3397,G.loss:1.7002\n",
            "Epoch: 199/200-Batch\\h: 476/938--D.loss:0.3784,G.loss:1.6248\n",
            "Epoch: 199/200-Batch\\h: 477/938--D.loss:0.3881,G.loss:1.6066\n",
            "Epoch: 199/200-Batch\\h: 478/938--D.loss:0.3301,G.loss:1.4118\n",
            "Epoch: 199/200-Batch\\h: 479/938--D.loss:0.3293,G.loss:1.9923\n",
            "Epoch: 199/200-Batch\\h: 480/938--D.loss:0.2925,G.loss:1.8174\n",
            "Epoch: 199/200-Batch\\h: 481/938--D.loss:0.3278,G.loss:1.9337\n",
            "Epoch: 199/200-Batch\\h: 482/938--D.loss:0.2962,G.loss:1.6962\n",
            "Epoch: 199/200-Batch\\h: 483/938--D.loss:0.3944,G.loss:1.7143\n",
            "Epoch: 199/200-Batch\\h: 484/938--D.loss:0.3513,G.loss:1.9139\n",
            "Epoch: 199/200-Batch\\h: 485/938--D.loss:0.3308,G.loss:1.6608\n",
            "Epoch: 199/200-Batch\\h: 486/938--D.loss:0.3871,G.loss:1.9637\n",
            "Epoch: 199/200-Batch\\h: 487/938--D.loss:0.3536,G.loss:1.6276\n",
            "Epoch: 199/200-Batch\\h: 488/938--D.loss:0.3416,G.loss:1.7473\n",
            "Epoch: 199/200-Batch\\h: 489/938--D.loss:0.3752,G.loss:1.8478\n",
            "Epoch: 199/200-Batch\\h: 490/938--D.loss:0.3581,G.loss:1.2482\n",
            "Epoch: 199/200-Batch\\h: 491/938--D.loss:0.3282,G.loss:1.8796\n",
            "Epoch: 199/200-Batch\\h: 492/938--D.loss:0.3216,G.loss:1.8836\n",
            "Epoch: 199/200-Batch\\h: 493/938--D.loss:0.3174,G.loss:1.4292\n",
            "Epoch: 199/200-Batch\\h: 494/938--D.loss:0.3802,G.loss:1.8087\n",
            "Epoch: 199/200-Batch\\h: 495/938--D.loss:0.4296,G.loss:2.0515\n",
            "Epoch: 199/200-Batch\\h: 496/938--D.loss:0.3415,G.loss:1.4136\n",
            "Epoch: 199/200-Batch\\h: 497/938--D.loss:0.3874,G.loss:1.7582\n",
            "Epoch: 199/200-Batch\\h: 498/938--D.loss:0.3928,G.loss:1.3771\n",
            "Epoch: 199/200-Batch\\h: 499/938--D.loss:0.3219,G.loss:1.6067\n",
            "Epoch: 199/200-Batch\\h: 500/938--D.loss:0.4466,G.loss:1.9319\n",
            "Epoch: 199/200-Batch\\h: 501/938--D.loss:0.3328,G.loss:1.4919\n",
            "Epoch: 199/200-Batch\\h: 502/938--D.loss:0.3547,G.loss:1.6007\n",
            "Epoch: 199/200-Batch\\h: 503/938--D.loss:0.3010,G.loss:1.7301\n",
            "Epoch: 199/200-Batch\\h: 504/938--D.loss:0.3595,G.loss:1.9210\n",
            "Epoch: 199/200-Batch\\h: 505/938--D.loss:0.3100,G.loss:1.5429\n",
            "Epoch: 199/200-Batch\\h: 506/938--D.loss:0.3620,G.loss:1.6748\n",
            "Epoch: 199/200-Batch\\h: 507/938--D.loss:0.3847,G.loss:1.7890\n",
            "Epoch: 199/200-Batch\\h: 508/938--D.loss:0.3988,G.loss:1.6774\n",
            "Epoch: 199/200-Batch\\h: 509/938--D.loss:0.3207,G.loss:1.5344\n",
            "Epoch: 199/200-Batch\\h: 510/938--D.loss:0.3271,G.loss:1.6781\n",
            "Epoch: 199/200-Batch\\h: 511/938--D.loss:0.3906,G.loss:2.0070\n",
            "Epoch: 199/200-Batch\\h: 512/938--D.loss:0.4114,G.loss:1.5986\n",
            "Epoch: 199/200-Batch\\h: 513/938--D.loss:0.3676,G.loss:1.2862\n",
            "Epoch: 199/200-Batch\\h: 514/938--D.loss:0.3245,G.loss:1.5756\n",
            "Epoch: 199/200-Batch\\h: 515/938--D.loss:0.4447,G.loss:2.0970\n",
            "Epoch: 199/200-Batch\\h: 516/938--D.loss:0.3674,G.loss:1.4455\n",
            "Epoch: 199/200-Batch\\h: 517/938--D.loss:0.4267,G.loss:1.2184\n",
            "Epoch: 199/200-Batch\\h: 518/938--D.loss:0.3682,G.loss:2.2375\n",
            "Epoch: 199/200-Batch\\h: 519/938--D.loss:0.3319,G.loss:1.8516\n",
            "Epoch: 199/200-Batch\\h: 520/938--D.loss:0.3224,G.loss:1.4228\n",
            "Epoch: 199/200-Batch\\h: 521/938--D.loss:0.2822,G.loss:1.7597\n",
            "Epoch: 199/200-Batch\\h: 522/938--D.loss:0.3491,G.loss:2.0197\n",
            "Epoch: 199/200-Batch\\h: 523/938--D.loss:0.3421,G.loss:1.6145\n",
            "Epoch: 199/200-Batch\\h: 524/938--D.loss:0.4094,G.loss:1.3968\n",
            "Epoch: 199/200-Batch\\h: 525/938--D.loss:0.3513,G.loss:2.0405\n",
            "Epoch: 199/200-Batch\\h: 526/938--D.loss:0.3628,G.loss:1.9479\n",
            "Epoch: 199/200-Batch\\h: 527/938--D.loss:0.2753,G.loss:1.6859\n",
            "Epoch: 199/200-Batch\\h: 528/938--D.loss:0.3442,G.loss:1.7627\n",
            "Epoch: 199/200-Batch\\h: 529/938--D.loss:0.3778,G.loss:1.6970\n",
            "Epoch: 199/200-Batch\\h: 530/938--D.loss:0.4003,G.loss:1.3022\n",
            "Epoch: 199/200-Batch\\h: 531/938--D.loss:0.3597,G.loss:1.6142\n",
            "Epoch: 199/200-Batch\\h: 532/938--D.loss:0.3989,G.loss:1.8395\n",
            "Epoch: 199/200-Batch\\h: 533/938--D.loss:0.3522,G.loss:1.6781\n",
            "Epoch: 199/200-Batch\\h: 534/938--D.loss:0.3175,G.loss:1.5319\n",
            "Epoch: 199/200-Batch\\h: 535/938--D.loss:0.3266,G.loss:1.5435\n",
            "Epoch: 199/200-Batch\\h: 536/938--D.loss:0.3030,G.loss:1.7867\n",
            "Epoch: 199/200-Batch\\h: 537/938--D.loss:0.4029,G.loss:1.8011\n",
            "Epoch: 199/200-Batch\\h: 538/938--D.loss:0.4062,G.loss:1.7341\n",
            "Epoch: 199/200-Batch\\h: 539/938--D.loss:0.2657,G.loss:1.6775\n",
            "Epoch: 199/200-Batch\\h: 540/938--D.loss:0.3627,G.loss:1.8630\n",
            "Epoch: 199/200-Batch\\h: 541/938--D.loss:0.2980,G.loss:1.7291\n",
            "Epoch: 199/200-Batch\\h: 542/938--D.loss:0.3508,G.loss:1.6314\n",
            "Epoch: 199/200-Batch\\h: 543/938--D.loss:0.2330,G.loss:1.6647\n",
            "Epoch: 199/200-Batch\\h: 544/938--D.loss:0.2658,G.loss:2.1821\n",
            "Epoch: 199/200-Batch\\h: 545/938--D.loss:0.3339,G.loss:2.1828\n",
            "Epoch: 199/200-Batch\\h: 546/938--D.loss:0.3874,G.loss:2.0457\n",
            "Epoch: 199/200-Batch\\h: 547/938--D.loss:0.3438,G.loss:1.6383\n",
            "Epoch: 199/200-Batch\\h: 548/938--D.loss:0.4249,G.loss:1.5085\n",
            "Epoch: 199/200-Batch\\h: 549/938--D.loss:0.3415,G.loss:2.0272\n",
            "Epoch: 199/200-Batch\\h: 550/938--D.loss:0.3015,G.loss:1.7693\n",
            "Epoch: 199/200-Batch\\h: 551/938--D.loss:0.3722,G.loss:1.2003\n",
            "Epoch: 199/200-Batch\\h: 552/938--D.loss:0.3614,G.loss:1.6235\n",
            "Epoch: 199/200-Batch\\h: 553/938--D.loss:0.3300,G.loss:1.8351\n",
            "Epoch: 199/200-Batch\\h: 554/938--D.loss:0.3396,G.loss:1.8952\n",
            "Epoch: 199/200-Batch\\h: 555/938--D.loss:0.3528,G.loss:1.5176\n",
            "Epoch: 199/200-Batch\\h: 556/938--D.loss:0.3843,G.loss:1.8283\n",
            "Epoch: 199/200-Batch\\h: 557/938--D.loss:0.3383,G.loss:2.2498\n",
            "Epoch: 199/200-Batch\\h: 558/938--D.loss:0.2733,G.loss:1.6038\n",
            "Epoch: 199/200-Batch\\h: 559/938--D.loss:0.3028,G.loss:1.5448\n",
            "Epoch: 199/200-Batch\\h: 560/938--D.loss:0.3116,G.loss:1.9489\n",
            "Epoch: 199/200-Batch\\h: 561/938--D.loss:0.3659,G.loss:1.8994\n",
            "Epoch: 199/200-Batch\\h: 562/938--D.loss:0.4344,G.loss:1.4467\n",
            "Epoch: 199/200-Batch\\h: 563/938--D.loss:0.3608,G.loss:1.8078\n",
            "Epoch: 199/200-Batch\\h: 564/938--D.loss:0.3348,G.loss:2.0920\n",
            "Epoch: 199/200-Batch\\h: 565/938--D.loss:0.3415,G.loss:1.4413\n",
            "Epoch: 199/200-Batch\\h: 566/938--D.loss:0.3270,G.loss:1.7771\n",
            "Epoch: 199/200-Batch\\h: 567/938--D.loss:0.4202,G.loss:1.3834\n",
            "Epoch: 199/200-Batch\\h: 568/938--D.loss:0.3044,G.loss:1.8088\n",
            "Epoch: 199/200-Batch\\h: 569/938--D.loss:0.3497,G.loss:2.1126\n",
            "Epoch: 199/200-Batch\\h: 570/938--D.loss:0.3827,G.loss:1.5646\n",
            "Epoch: 199/200-Batch\\h: 571/938--D.loss:0.3662,G.loss:1.3791\n",
            "Epoch: 199/200-Batch\\h: 572/938--D.loss:0.3519,G.loss:1.9120\n",
            "Epoch: 199/200-Batch\\h: 573/938--D.loss:0.3520,G.loss:2.0644\n",
            "Epoch: 199/200-Batch\\h: 574/938--D.loss:0.3472,G.loss:1.9060\n",
            "Epoch: 199/200-Batch\\h: 575/938--D.loss:0.3112,G.loss:1.6078\n",
            "Epoch: 199/200-Batch\\h: 576/938--D.loss:0.3566,G.loss:1.6172\n",
            "Epoch: 199/200-Batch\\h: 577/938--D.loss:0.4366,G.loss:1.3138\n",
            "Epoch: 199/200-Batch\\h: 578/938--D.loss:0.3812,G.loss:1.6812\n",
            "Epoch: 199/200-Batch\\h: 579/938--D.loss:0.3508,G.loss:1.7494\n",
            "Epoch: 199/200-Batch\\h: 580/938--D.loss:0.3295,G.loss:1.7807\n",
            "Epoch: 199/200-Batch\\h: 581/938--D.loss:0.3803,G.loss:1.7925\n",
            "Epoch: 199/200-Batch\\h: 582/938--D.loss:0.3966,G.loss:1.4607\n",
            "Epoch: 199/200-Batch\\h: 583/938--D.loss:0.3201,G.loss:1.4728\n",
            "Epoch: 199/200-Batch\\h: 584/938--D.loss:0.3684,G.loss:1.9815\n",
            "Epoch: 199/200-Batch\\h: 585/938--D.loss:0.3647,G.loss:1.5407\n",
            "Epoch: 199/200-Batch\\h: 586/938--D.loss:0.4221,G.loss:1.4476\n",
            "Epoch: 199/200-Batch\\h: 587/938--D.loss:0.3643,G.loss:1.9096\n",
            "Epoch: 199/200-Batch\\h: 588/938--D.loss:0.3361,G.loss:1.9645\n",
            "Epoch: 199/200-Batch\\h: 589/938--D.loss:0.2959,G.loss:1.7447\n",
            "Epoch: 199/200-Batch\\h: 590/938--D.loss:0.3758,G.loss:1.5331\n",
            "Epoch: 199/200-Batch\\h: 591/938--D.loss:0.3423,G.loss:1.9040\n",
            "Epoch: 199/200-Batch\\h: 592/938--D.loss:0.3851,G.loss:1.8173\n",
            "Epoch: 199/200-Batch\\h: 593/938--D.loss:0.3755,G.loss:1.7676\n",
            "Epoch: 199/200-Batch\\h: 594/938--D.loss:0.4270,G.loss:1.7900\n",
            "Epoch: 199/200-Batch\\h: 595/938--D.loss:0.3958,G.loss:1.3272\n",
            "Epoch: 199/200-Batch\\h: 596/938--D.loss:0.3920,G.loss:1.6450\n",
            "Epoch: 199/200-Batch\\h: 597/938--D.loss:0.3627,G.loss:1.6764\n",
            "Epoch: 199/200-Batch\\h: 598/938--D.loss:0.3356,G.loss:2.0439\n",
            "Epoch: 199/200-Batch\\h: 599/938--D.loss:0.3811,G.loss:1.6023\n",
            "Epoch: 199/200-Batch\\h: 600/938--D.loss:0.3072,G.loss:1.8428\n",
            "Epoch: 199/200-Batch\\h: 601/938--D.loss:0.4059,G.loss:1.7125\n",
            "Epoch: 199/200-Batch\\h: 602/938--D.loss:0.3246,G.loss:1.3976\n",
            "Epoch: 199/200-Batch\\h: 603/938--D.loss:0.3681,G.loss:1.8347\n",
            "Epoch: 199/200-Batch\\h: 604/938--D.loss:0.4201,G.loss:1.5370\n",
            "Epoch: 199/200-Batch\\h: 605/938--D.loss:0.3641,G.loss:1.6696\n",
            "Epoch: 199/200-Batch\\h: 606/938--D.loss:0.3016,G.loss:1.6848\n",
            "Epoch: 199/200-Batch\\h: 607/938--D.loss:0.3513,G.loss:1.6093\n",
            "Epoch: 199/200-Batch\\h: 608/938--D.loss:0.3537,G.loss:1.7568\n",
            "Epoch: 199/200-Batch\\h: 609/938--D.loss:0.3423,G.loss:1.5905\n",
            "Epoch: 199/200-Batch\\h: 610/938--D.loss:0.3266,G.loss:1.6187\n",
            "Epoch: 199/200-Batch\\h: 611/938--D.loss:0.3931,G.loss:1.7501\n",
            "Epoch: 199/200-Batch\\h: 612/938--D.loss:0.3474,G.loss:1.8640\n",
            "Epoch: 199/200-Batch\\h: 613/938--D.loss:0.3474,G.loss:1.4975\n",
            "Epoch: 199/200-Batch\\h: 614/938--D.loss:0.4316,G.loss:1.7775\n",
            "Epoch: 199/200-Batch\\h: 615/938--D.loss:0.3363,G.loss:1.7000\n",
            "Epoch: 199/200-Batch\\h: 616/938--D.loss:0.3563,G.loss:1.3216\n",
            "Epoch: 199/200-Batch\\h: 617/938--D.loss:0.3249,G.loss:1.4163\n",
            "Epoch: 199/200-Batch\\h: 618/938--D.loss:0.3802,G.loss:1.9314\n",
            "Epoch: 199/200-Batch\\h: 619/938--D.loss:0.2972,G.loss:1.7725\n",
            "Epoch: 199/200-Batch\\h: 620/938--D.loss:0.2893,G.loss:2.0660\n",
            "Epoch: 199/200-Batch\\h: 621/938--D.loss:0.3685,G.loss:1.8673\n",
            "Epoch: 199/200-Batch\\h: 622/938--D.loss:0.3819,G.loss:1.4737\n",
            "Epoch: 199/200-Batch\\h: 623/938--D.loss:0.2835,G.loss:1.5621\n",
            "Epoch: 199/200-Batch\\h: 624/938--D.loss:0.2408,G.loss:1.8938\n",
            "Epoch: 199/200-Batch\\h: 625/938--D.loss:0.3658,G.loss:2.1136\n",
            "Epoch: 199/200-Batch\\h: 626/938--D.loss:0.3397,G.loss:1.8677\n",
            "Epoch: 199/200-Batch\\h: 627/938--D.loss:0.3910,G.loss:1.5778\n",
            "Epoch: 199/200-Batch\\h: 628/938--D.loss:0.3242,G.loss:1.5581\n",
            "Epoch: 199/200-Batch\\h: 629/938--D.loss:0.3693,G.loss:1.8664\n",
            "Epoch: 199/200-Batch\\h: 630/938--D.loss:0.3093,G.loss:1.8187\n",
            "Epoch: 199/200-Batch\\h: 631/938--D.loss:0.3283,G.loss:1.5943\n",
            "Epoch: 199/200-Batch\\h: 632/938--D.loss:0.3839,G.loss:1.4036\n",
            "Epoch: 199/200-Batch\\h: 633/938--D.loss:0.3124,G.loss:1.8038\n",
            "Epoch: 199/200-Batch\\h: 634/938--D.loss:0.3947,G.loss:1.8329\n",
            "Epoch: 199/200-Batch\\h: 635/938--D.loss:0.3470,G.loss:1.8592\n",
            "Epoch: 199/200-Batch\\h: 636/938--D.loss:0.3347,G.loss:1.7634\n",
            "Epoch: 199/200-Batch\\h: 637/938--D.loss:0.4123,G.loss:1.5681\n",
            "Epoch: 199/200-Batch\\h: 638/938--D.loss:0.4539,G.loss:1.3346\n",
            "Epoch: 199/200-Batch\\h: 639/938--D.loss:0.4474,G.loss:1.6970\n",
            "Epoch: 199/200-Batch\\h: 640/938--D.loss:0.3013,G.loss:1.5425\n",
            "Epoch: 199/200-Batch\\h: 641/938--D.loss:0.3029,G.loss:1.5464\n",
            "Epoch: 199/200-Batch\\h: 642/938--D.loss:0.3676,G.loss:1.8321\n",
            "Epoch: 199/200-Batch\\h: 643/938--D.loss:0.2942,G.loss:1.7579\n",
            "Epoch: 199/200-Batch\\h: 644/938--D.loss:0.3663,G.loss:1.6167\n",
            "Epoch: 199/200-Batch\\h: 645/938--D.loss:0.3427,G.loss:1.4464\n",
            "Epoch: 199/200-Batch\\h: 646/938--D.loss:0.4072,G.loss:1.7620\n",
            "Epoch: 199/200-Batch\\h: 647/938--D.loss:0.3746,G.loss:1.9933\n",
            "Epoch: 199/200-Batch\\h: 648/938--D.loss:0.3283,G.loss:1.7871\n",
            "Epoch: 199/200-Batch\\h: 649/938--D.loss:0.3680,G.loss:1.7147\n",
            "Epoch: 199/200-Batch\\h: 650/938--D.loss:0.3090,G.loss:1.4905\n",
            "Epoch: 199/200-Batch\\h: 651/938--D.loss:0.3648,G.loss:2.1606\n",
            "Epoch: 199/200-Batch\\h: 652/938--D.loss:0.3143,G.loss:1.7056\n",
            "Epoch: 199/200-Batch\\h: 653/938--D.loss:0.4450,G.loss:1.5661\n",
            "Epoch: 199/200-Batch\\h: 654/938--D.loss:0.3458,G.loss:1.4509\n",
            "Epoch: 199/200-Batch\\h: 655/938--D.loss:0.3969,G.loss:1.9205\n",
            "Epoch: 199/200-Batch\\h: 656/938--D.loss:0.3203,G.loss:2.1013\n",
            "Epoch: 199/200-Batch\\h: 657/938--D.loss:0.3788,G.loss:1.6395\n",
            "Epoch: 199/200-Batch\\h: 658/938--D.loss:0.3240,G.loss:1.5544\n",
            "Epoch: 199/200-Batch\\h: 659/938--D.loss:0.2733,G.loss:1.8914\n",
            "Epoch: 199/200-Batch\\h: 660/938--D.loss:0.4757,G.loss:2.5453\n",
            "Epoch: 199/200-Batch\\h: 661/938--D.loss:0.3643,G.loss:1.3979\n",
            "Epoch: 199/200-Batch\\h: 662/938--D.loss:0.4081,G.loss:1.2929\n",
            "Epoch: 199/200-Batch\\h: 663/938--D.loss:0.3628,G.loss:1.7824\n",
            "Epoch: 199/200-Batch\\h: 664/938--D.loss:0.3355,G.loss:1.5754\n",
            "Epoch: 199/200-Batch\\h: 665/938--D.loss:0.3798,G.loss:1.7699\n",
            "Epoch: 199/200-Batch\\h: 666/938--D.loss:0.3717,G.loss:1.4409\n",
            "Epoch: 199/200-Batch\\h: 667/938--D.loss:0.3543,G.loss:1.5967\n",
            "Epoch: 199/200-Batch\\h: 668/938--D.loss:0.3636,G.loss:1.8022\n",
            "Epoch: 199/200-Batch\\h: 669/938--D.loss:0.3336,G.loss:1.5558\n",
            "Epoch: 199/200-Batch\\h: 670/938--D.loss:0.4282,G.loss:1.7538\n",
            "Epoch: 199/200-Batch\\h: 671/938--D.loss:0.3502,G.loss:1.5190\n",
            "Epoch: 199/200-Batch\\h: 672/938--D.loss:0.3523,G.loss:1.6537\n",
            "Epoch: 199/200-Batch\\h: 673/938--D.loss:0.3200,G.loss:1.8431\n",
            "Epoch: 199/200-Batch\\h: 674/938--D.loss:0.3617,G.loss:1.6946\n",
            "Epoch: 199/200-Batch\\h: 675/938--D.loss:0.3385,G.loss:1.8632\n",
            "Epoch: 199/200-Batch\\h: 676/938--D.loss:0.3644,G.loss:1.4170\n",
            "Epoch: 199/200-Batch\\h: 677/938--D.loss:0.4106,G.loss:2.1599\n",
            "Epoch: 199/200-Batch\\h: 678/938--D.loss:0.3287,G.loss:1.4653\n",
            "Epoch: 199/200-Batch\\h: 679/938--D.loss:0.3196,G.loss:1.6963\n",
            "Epoch: 199/200-Batch\\h: 680/938--D.loss:0.4356,G.loss:1.8534\n",
            "Epoch: 199/200-Batch\\h: 681/938--D.loss:0.3353,G.loss:1.7192\n",
            "Epoch: 199/200-Batch\\h: 682/938--D.loss:0.3419,G.loss:1.7318\n",
            "Epoch: 199/200-Batch\\h: 683/938--D.loss:0.4163,G.loss:1.6333\n",
            "Epoch: 199/200-Batch\\h: 684/938--D.loss:0.3055,G.loss:1.8230\n",
            "Epoch: 199/200-Batch\\h: 685/938--D.loss:0.2955,G.loss:1.7749\n",
            "Epoch: 199/200-Batch\\h: 686/938--D.loss:0.3788,G.loss:1.8972\n",
            "Epoch: 199/200-Batch\\h: 687/938--D.loss:0.4035,G.loss:1.5411\n",
            "Epoch: 199/200-Batch\\h: 688/938--D.loss:0.3364,G.loss:1.4334\n",
            "Epoch: 199/200-Batch\\h: 689/938--D.loss:0.3641,G.loss:1.7963\n",
            "Epoch: 199/200-Batch\\h: 690/938--D.loss:0.3779,G.loss:1.7377\n",
            "Epoch: 199/200-Batch\\h: 691/938--D.loss:0.3439,G.loss:1.5933\n",
            "Epoch: 199/200-Batch\\h: 692/938--D.loss:0.3224,G.loss:1.5823\n",
            "Epoch: 199/200-Batch\\h: 693/938--D.loss:0.2946,G.loss:2.0956\n",
            "Epoch: 199/200-Batch\\h: 694/938--D.loss:0.3734,G.loss:1.8306\n",
            "Epoch: 199/200-Batch\\h: 695/938--D.loss:0.3717,G.loss:1.3404\n",
            "Epoch: 199/200-Batch\\h: 696/938--D.loss:0.3101,G.loss:2.2104\n",
            "Epoch: 199/200-Batch\\h: 697/938--D.loss:0.4306,G.loss:1.8438\n",
            "Epoch: 199/200-Batch\\h: 698/938--D.loss:0.3655,G.loss:1.5214\n",
            "Epoch: 199/200-Batch\\h: 699/938--D.loss:0.3148,G.loss:1.8770\n",
            "Epoch: 199/200-Batch\\h: 700/938--D.loss:0.2793,G.loss:1.5681\n",
            "Epoch: 199/200-Batch\\h: 701/938--D.loss:0.3069,G.loss:1.6849\n",
            "Epoch: 199/200-Batch\\h: 702/938--D.loss:0.3530,G.loss:1.9845\n",
            "Epoch: 199/200-Batch\\h: 703/938--D.loss:0.3746,G.loss:1.7237\n",
            "Epoch: 199/200-Batch\\h: 704/938--D.loss:0.3609,G.loss:1.8014\n",
            "Epoch: 199/200-Batch\\h: 705/938--D.loss:0.2755,G.loss:1.6825\n",
            "Epoch: 199/200-Batch\\h: 706/938--D.loss:0.3420,G.loss:1.7480\n",
            "Epoch: 199/200-Batch\\h: 707/938--D.loss:0.3870,G.loss:1.9248\n",
            "Epoch: 199/200-Batch\\h: 708/938--D.loss:0.3169,G.loss:1.6371\n",
            "Epoch: 199/200-Batch\\h: 709/938--D.loss:0.3490,G.loss:1.2294\n",
            "Epoch: 199/200-Batch\\h: 710/938--D.loss:0.3686,G.loss:2.0722\n",
            "Epoch: 199/200-Batch\\h: 711/938--D.loss:0.3162,G.loss:1.9257\n",
            "Epoch: 199/200-Batch\\h: 712/938--D.loss:0.3483,G.loss:1.7775\n",
            "Epoch: 199/200-Batch\\h: 713/938--D.loss:0.4717,G.loss:2.1583\n",
            "Epoch: 199/200-Batch\\h: 714/938--D.loss:0.3081,G.loss:1.6229\n",
            "Epoch: 199/200-Batch\\h: 715/938--D.loss:0.3294,G.loss:1.6964\n",
            "Epoch: 199/200-Batch\\h: 716/938--D.loss:0.2806,G.loss:1.6778\n",
            "Epoch: 199/200-Batch\\h: 717/938--D.loss:0.3519,G.loss:1.7856\n",
            "Epoch: 199/200-Batch\\h: 718/938--D.loss:0.3201,G.loss:2.1065\n",
            "Epoch: 199/200-Batch\\h: 719/938--D.loss:0.3992,G.loss:1.6233\n",
            "Epoch: 199/200-Batch\\h: 720/938--D.loss:0.3889,G.loss:1.6652\n",
            "Epoch: 199/200-Batch\\h: 721/938--D.loss:0.3660,G.loss:1.5591\n",
            "Epoch: 199/200-Batch\\h: 722/938--D.loss:0.3978,G.loss:2.0418\n",
            "Epoch: 199/200-Batch\\h: 723/938--D.loss:0.3610,G.loss:1.6818\n",
            "Epoch: 199/200-Batch\\h: 724/938--D.loss:0.3980,G.loss:1.2774\n",
            "Epoch: 199/200-Batch\\h: 725/938--D.loss:0.3686,G.loss:1.5989\n",
            "Epoch: 199/200-Batch\\h: 726/938--D.loss:0.4762,G.loss:2.0279\n",
            "Epoch: 199/200-Batch\\h: 727/938--D.loss:0.3450,G.loss:1.6167\n",
            "Epoch: 199/200-Batch\\h: 728/938--D.loss:0.4329,G.loss:1.1566\n",
            "Epoch: 199/200-Batch\\h: 729/938--D.loss:0.3826,G.loss:1.7714\n",
            "Epoch: 199/200-Batch\\h: 730/938--D.loss:0.4220,G.loss:1.8797\n",
            "Epoch: 199/200-Batch\\h: 731/938--D.loss:0.4002,G.loss:1.4066\n",
            "Epoch: 199/200-Batch\\h: 732/938--D.loss:0.3663,G.loss:1.2917\n",
            "Epoch: 199/200-Batch\\h: 733/938--D.loss:0.3953,G.loss:2.1349\n",
            "Epoch: 199/200-Batch\\h: 734/938--D.loss:0.4115,G.loss:1.6911\n",
            "Epoch: 199/200-Batch\\h: 735/938--D.loss:0.2785,G.loss:1.4892\n",
            "Epoch: 199/200-Batch\\h: 736/938--D.loss:0.3007,G.loss:1.4040\n",
            "Epoch: 199/200-Batch\\h: 737/938--D.loss:0.4175,G.loss:1.8708\n",
            "Epoch: 199/200-Batch\\h: 738/938--D.loss:0.3339,G.loss:1.5737\n",
            "Epoch: 199/200-Batch\\h: 739/938--D.loss:0.3201,G.loss:1.7909\n",
            "Epoch: 199/200-Batch\\h: 740/938--D.loss:0.3566,G.loss:1.9144\n",
            "Epoch: 199/200-Batch\\h: 741/938--D.loss:0.3377,G.loss:1.7605\n",
            "Epoch: 199/200-Batch\\h: 742/938--D.loss:0.3940,G.loss:1.7175\n",
            "Epoch: 199/200-Batch\\h: 743/938--D.loss:0.3100,G.loss:1.4161\n",
            "Epoch: 199/200-Batch\\h: 744/938--D.loss:0.2675,G.loss:1.8309\n",
            "Epoch: 199/200-Batch\\h: 745/938--D.loss:0.3600,G.loss:2.1916\n",
            "Epoch: 199/200-Batch\\h: 746/938--D.loss:0.3931,G.loss:1.6517\n",
            "Epoch: 199/200-Batch\\h: 747/938--D.loss:0.4096,G.loss:1.6350\n",
            "Epoch: 199/200-Batch\\h: 748/938--D.loss:0.3538,G.loss:1.7975\n",
            "Epoch: 199/200-Batch\\h: 749/938--D.loss:0.3284,G.loss:1.5935\n",
            "Epoch: 199/200-Batch\\h: 750/938--D.loss:0.4313,G.loss:2.0017\n",
            "Epoch: 199/200-Batch\\h: 751/938--D.loss:0.3170,G.loss:1.3350\n",
            "Epoch: 199/200-Batch\\h: 752/938--D.loss:0.4102,G.loss:1.5450\n",
            "Epoch: 199/200-Batch\\h: 753/938--D.loss:0.3329,G.loss:1.9955\n",
            "Epoch: 199/200-Batch\\h: 754/938--D.loss:0.3082,G.loss:1.8789\n",
            "Epoch: 199/200-Batch\\h: 755/938--D.loss:0.3684,G.loss:1.5344\n",
            "Epoch: 199/200-Batch\\h: 756/938--D.loss:0.3773,G.loss:1.4724\n",
            "Epoch: 199/200-Batch\\h: 757/938--D.loss:0.4627,G.loss:1.6612\n",
            "Epoch: 199/200-Batch\\h: 758/938--D.loss:0.3534,G.loss:1.5770\n",
            "Epoch: 199/200-Batch\\h: 759/938--D.loss:0.3708,G.loss:1.8417\n",
            "Epoch: 199/200-Batch\\h: 760/938--D.loss:0.2779,G.loss:1.6098\n",
            "Epoch: 199/200-Batch\\h: 761/938--D.loss:0.3561,G.loss:1.8061\n",
            "Epoch: 199/200-Batch\\h: 762/938--D.loss:0.3257,G.loss:1.6092\n",
            "Epoch: 199/200-Batch\\h: 763/938--D.loss:0.3990,G.loss:1.9119\n",
            "Epoch: 199/200-Batch\\h: 764/938--D.loss:0.3004,G.loss:1.6132\n",
            "Epoch: 199/200-Batch\\h: 765/938--D.loss:0.3052,G.loss:1.9310\n",
            "Epoch: 199/200-Batch\\h: 766/938--D.loss:0.3781,G.loss:1.6854\n",
            "Epoch: 199/200-Batch\\h: 767/938--D.loss:0.3981,G.loss:1.8379\n",
            "Epoch: 199/200-Batch\\h: 768/938--D.loss:0.3292,G.loss:1.5178\n",
            "Epoch: 199/200-Batch\\h: 769/938--D.loss:0.3912,G.loss:1.7583\n",
            "Epoch: 199/200-Batch\\h: 770/938--D.loss:0.3120,G.loss:2.1311\n",
            "Epoch: 199/200-Batch\\h: 771/938--D.loss:0.2983,G.loss:1.6348\n",
            "Epoch: 199/200-Batch\\h: 772/938--D.loss:0.3803,G.loss:1.5230\n",
            "Epoch: 199/200-Batch\\h: 773/938--D.loss:0.3931,G.loss:1.6677\n",
            "Epoch: 199/200-Batch\\h: 774/938--D.loss:0.3549,G.loss:1.9242\n",
            "Epoch: 199/200-Batch\\h: 775/938--D.loss:0.3925,G.loss:1.7475\n",
            "Epoch: 199/200-Batch\\h: 776/938--D.loss:0.3319,G.loss:1.3454\n",
            "Epoch: 199/200-Batch\\h: 777/938--D.loss:0.3950,G.loss:1.7245\n",
            "Epoch: 199/200-Batch\\h: 778/938--D.loss:0.2963,G.loss:1.6294\n",
            "Epoch: 199/200-Batch\\h: 779/938--D.loss:0.3531,G.loss:1.7146\n",
            "Epoch: 199/200-Batch\\h: 780/938--D.loss:0.3826,G.loss:1.9572\n",
            "Epoch: 199/200-Batch\\h: 781/938--D.loss:0.3285,G.loss:1.5924\n",
            "Epoch: 199/200-Batch\\h: 782/938--D.loss:0.3375,G.loss:1.3924\n",
            "Epoch: 199/200-Batch\\h: 783/938--D.loss:0.2896,G.loss:1.7512\n",
            "Epoch: 199/200-Batch\\h: 784/938--D.loss:0.3063,G.loss:1.8853\n",
            "Epoch: 199/200-Batch\\h: 785/938--D.loss:0.2662,G.loss:1.9515\n",
            "Epoch: 199/200-Batch\\h: 786/938--D.loss:0.3735,G.loss:1.8548\n",
            "Epoch: 199/200-Batch\\h: 787/938--D.loss:0.3377,G.loss:1.4145\n",
            "Epoch: 199/200-Batch\\h: 788/938--D.loss:0.3648,G.loss:1.6210\n",
            "Epoch: 199/200-Batch\\h: 789/938--D.loss:0.3633,G.loss:2.0935\n",
            "Epoch: 199/200-Batch\\h: 790/938--D.loss:0.4158,G.loss:2.1904\n",
            "Epoch: 199/200-Batch\\h: 791/938--D.loss:0.3376,G.loss:1.6411\n",
            "Epoch: 199/200-Batch\\h: 792/938--D.loss:0.3363,G.loss:1.7807\n",
            "Epoch: 199/200-Batch\\h: 793/938--D.loss:0.3942,G.loss:1.6305\n",
            "Epoch: 199/200-Batch\\h: 794/938--D.loss:0.3686,G.loss:1.5167\n",
            "Epoch: 199/200-Batch\\h: 795/938--D.loss:0.3295,G.loss:1.4003\n",
            "Epoch: 199/200-Batch\\h: 796/938--D.loss:0.3200,G.loss:1.9218\n",
            "Epoch: 199/200-Batch\\h: 797/938--D.loss:0.3858,G.loss:1.4988\n",
            "Epoch: 199/200-Batch\\h: 798/938--D.loss:0.2755,G.loss:1.6298\n",
            "Epoch: 199/200-Batch\\h: 799/938--D.loss:0.3789,G.loss:1.6198\n",
            "Epoch: 199/200-Batch\\h: 800/938--D.loss:0.3257,G.loss:1.6785\n",
            "Epoch: 199/200-Batch\\h: 801/938--D.loss:0.3731,G.loss:1.5674\n",
            "Epoch: 199/200-Batch\\h: 802/938--D.loss:0.3593,G.loss:2.2933\n",
            "Epoch: 199/200-Batch\\h: 803/938--D.loss:0.3518,G.loss:1.8417\n",
            "Epoch: 199/200-Batch\\h: 804/938--D.loss:0.3955,G.loss:1.4937\n",
            "Epoch: 199/200-Batch\\h: 805/938--D.loss:0.2838,G.loss:1.6794\n",
            "Epoch: 199/200-Batch\\h: 806/938--D.loss:0.3397,G.loss:1.4776\n",
            "Epoch: 199/200-Batch\\h: 807/938--D.loss:0.4091,G.loss:1.9389\n",
            "Epoch: 199/200-Batch\\h: 808/938--D.loss:0.3650,G.loss:1.7629\n",
            "Epoch: 199/200-Batch\\h: 809/938--D.loss:0.3330,G.loss:1.7774\n",
            "Epoch: 199/200-Batch\\h: 810/938--D.loss:0.3831,G.loss:1.8320\n",
            "Epoch: 199/200-Batch\\h: 811/938--D.loss:0.4431,G.loss:1.5194\n",
            "Epoch: 199/200-Batch\\h: 812/938--D.loss:0.3283,G.loss:1.3384\n",
            "Epoch: 199/200-Batch\\h: 813/938--D.loss:0.3526,G.loss:1.6710\n",
            "Epoch: 199/200-Batch\\h: 814/938--D.loss:0.3129,G.loss:1.9865\n",
            "Epoch: 199/200-Batch\\h: 815/938--D.loss:0.3492,G.loss:1.7985\n",
            "Epoch: 199/200-Batch\\h: 816/938--D.loss:0.3956,G.loss:1.5945\n",
            "Epoch: 199/200-Batch\\h: 817/938--D.loss:0.3501,G.loss:1.6375\n",
            "Epoch: 199/200-Batch\\h: 818/938--D.loss:0.3334,G.loss:1.6336\n",
            "Epoch: 199/200-Batch\\h: 819/938--D.loss:0.3193,G.loss:1.6606\n",
            "Epoch: 199/200-Batch\\h: 820/938--D.loss:0.3470,G.loss:1.5820\n",
            "Epoch: 199/200-Batch\\h: 821/938--D.loss:0.3660,G.loss:1.6427\n",
            "Epoch: 199/200-Batch\\h: 822/938--D.loss:0.3553,G.loss:1.6511\n",
            "Epoch: 199/200-Batch\\h: 823/938--D.loss:0.3540,G.loss:1.9281\n",
            "Epoch: 199/200-Batch\\h: 824/938--D.loss:0.3958,G.loss:1.4645\n",
            "Epoch: 199/200-Batch\\h: 825/938--D.loss:0.3365,G.loss:1.4903\n",
            "Epoch: 199/200-Batch\\h: 826/938--D.loss:0.4015,G.loss:1.9128\n",
            "Epoch: 199/200-Batch\\h: 827/938--D.loss:0.3361,G.loss:1.7522\n",
            "Epoch: 199/200-Batch\\h: 828/938--D.loss:0.3322,G.loss:1.3286\n",
            "Epoch: 199/200-Batch\\h: 829/938--D.loss:0.3341,G.loss:1.8386\n",
            "Epoch: 199/200-Batch\\h: 830/938--D.loss:0.3503,G.loss:1.8285\n",
            "Epoch: 199/200-Batch\\h: 831/938--D.loss:0.2978,G.loss:1.6815\n",
            "Epoch: 199/200-Batch\\h: 832/938--D.loss:0.3322,G.loss:1.7327\n",
            "Epoch: 199/200-Batch\\h: 833/938--D.loss:0.3342,G.loss:1.8820\n",
            "Epoch: 199/200-Batch\\h: 834/938--D.loss:0.3731,G.loss:1.7244\n",
            "Epoch: 199/200-Batch\\h: 835/938--D.loss:0.3805,G.loss:1.5559\n",
            "Epoch: 199/200-Batch\\h: 836/938--D.loss:0.3543,G.loss:1.6852\n",
            "Epoch: 199/200-Batch\\h: 837/938--D.loss:0.3642,G.loss:1.7380\n",
            "Epoch: 199/200-Batch\\h: 838/938--D.loss:0.3257,G.loss:1.7376\n",
            "Epoch: 199/200-Batch\\h: 839/938--D.loss:0.2704,G.loss:1.5995\n",
            "Epoch: 199/200-Batch\\h: 840/938--D.loss:0.3789,G.loss:1.7588\n",
            "Epoch: 199/200-Batch\\h: 841/938--D.loss:0.3496,G.loss:1.7192\n",
            "Epoch: 199/200-Batch\\h: 842/938--D.loss:0.3983,G.loss:1.6360\n",
            "Epoch: 199/200-Batch\\h: 843/938--D.loss:0.3080,G.loss:1.9530\n",
            "Epoch: 199/200-Batch\\h: 844/938--D.loss:0.3690,G.loss:1.8330\n",
            "Epoch: 199/200-Batch\\h: 845/938--D.loss:0.3488,G.loss:1.7872\n",
            "Epoch: 199/200-Batch\\h: 846/938--D.loss:0.3264,G.loss:1.4038\n",
            "Epoch: 199/200-Batch\\h: 847/938--D.loss:0.2810,G.loss:1.6727\n",
            "Epoch: 199/200-Batch\\h: 848/938--D.loss:0.4776,G.loss:2.2296\n",
            "Epoch: 199/200-Batch\\h: 849/938--D.loss:0.4125,G.loss:1.9837\n",
            "Epoch: 199/200-Batch\\h: 850/938--D.loss:0.3736,G.loss:1.5010\n",
            "Epoch: 199/200-Batch\\h: 851/938--D.loss:0.2913,G.loss:1.4851\n",
            "Epoch: 199/200-Batch\\h: 852/938--D.loss:0.3215,G.loss:1.7872\n",
            "Epoch: 199/200-Batch\\h: 853/938--D.loss:0.3446,G.loss:1.6462\n",
            "Epoch: 199/200-Batch\\h: 854/938--D.loss:0.3120,G.loss:1.9027\n",
            "Epoch: 199/200-Batch\\h: 855/938--D.loss:0.4139,G.loss:1.6909\n",
            "Epoch: 199/200-Batch\\h: 856/938--D.loss:0.3121,G.loss:1.8002\n",
            "Epoch: 199/200-Batch\\h: 857/938--D.loss:0.3629,G.loss:1.7712\n",
            "Epoch: 199/200-Batch\\h: 858/938--D.loss:0.2836,G.loss:1.7619\n",
            "Epoch: 199/200-Batch\\h: 859/938--D.loss:0.2485,G.loss:2.0405\n",
            "Epoch: 199/200-Batch\\h: 860/938--D.loss:0.3665,G.loss:2.1551\n",
            "Epoch: 199/200-Batch\\h: 861/938--D.loss:0.3448,G.loss:1.7822\n",
            "Epoch: 199/200-Batch\\h: 862/938--D.loss:0.3228,G.loss:1.7076\n",
            "Epoch: 199/200-Batch\\h: 863/938--D.loss:0.3286,G.loss:1.7824\n",
            "Epoch: 199/200-Batch\\h: 864/938--D.loss:0.3872,G.loss:1.7544\n",
            "Epoch: 199/200-Batch\\h: 865/938--D.loss:0.3907,G.loss:1.6016\n",
            "Epoch: 199/200-Batch\\h: 866/938--D.loss:0.3336,G.loss:1.6944\n",
            "Epoch: 199/200-Batch\\h: 867/938--D.loss:0.3135,G.loss:1.6737\n",
            "Epoch: 199/200-Batch\\h: 868/938--D.loss:0.3812,G.loss:1.5964\n",
            "Epoch: 199/200-Batch\\h: 869/938--D.loss:0.2956,G.loss:1.7537\n",
            "Epoch: 199/200-Batch\\h: 870/938--D.loss:0.4245,G.loss:1.4776\n",
            "Epoch: 199/200-Batch\\h: 871/938--D.loss:0.3547,G.loss:1.7676\n",
            "Epoch: 199/200-Batch\\h: 872/938--D.loss:0.3123,G.loss:1.7018\n",
            "Epoch: 199/200-Batch\\h: 873/938--D.loss:0.4143,G.loss:1.8613\n",
            "Epoch: 199/200-Batch\\h: 874/938--D.loss:0.3762,G.loss:1.3193\n",
            "Epoch: 199/200-Batch\\h: 875/938--D.loss:0.3570,G.loss:1.5131\n",
            "Epoch: 199/200-Batch\\h: 876/938--D.loss:0.3282,G.loss:1.8874\n",
            "Epoch: 199/200-Batch\\h: 877/938--D.loss:0.4024,G.loss:2.1906\n",
            "Epoch: 199/200-Batch\\h: 878/938--D.loss:0.2796,G.loss:1.3727\n",
            "Epoch: 199/200-Batch\\h: 879/938--D.loss:0.4695,G.loss:1.8104\n",
            "Epoch: 199/200-Batch\\h: 880/938--D.loss:0.3687,G.loss:1.7330\n",
            "Epoch: 199/200-Batch\\h: 881/938--D.loss:0.3253,G.loss:1.7686\n",
            "Epoch: 199/200-Batch\\h: 882/938--D.loss:0.3491,G.loss:1.5120\n",
            "Epoch: 199/200-Batch\\h: 883/938--D.loss:0.3702,G.loss:1.6604\n",
            "Epoch: 199/200-Batch\\h: 884/938--D.loss:0.4044,G.loss:1.6157\n",
            "Epoch: 199/200-Batch\\h: 885/938--D.loss:0.4093,G.loss:1.7650\n",
            "Epoch: 199/200-Batch\\h: 886/938--D.loss:0.3590,G.loss:1.4911\n",
            "Epoch: 199/200-Batch\\h: 887/938--D.loss:0.3634,G.loss:1.6657\n",
            "Epoch: 199/200-Batch\\h: 888/938--D.loss:0.3510,G.loss:1.6516\n",
            "Epoch: 199/200-Batch\\h: 889/938--D.loss:0.3629,G.loss:1.7053\n",
            "Epoch: 199/200-Batch\\h: 890/938--D.loss:0.3067,G.loss:1.6333\n",
            "Epoch: 199/200-Batch\\h: 891/938--D.loss:0.3933,G.loss:1.7480\n",
            "Epoch: 199/200-Batch\\h: 892/938--D.loss:0.3865,G.loss:1.5399\n",
            "Epoch: 199/200-Batch\\h: 893/938--D.loss:0.2980,G.loss:1.4821\n",
            "Epoch: 199/200-Batch\\h: 894/938--D.loss:0.3634,G.loss:1.8040\n",
            "Epoch: 199/200-Batch\\h: 895/938--D.loss:0.3529,G.loss:1.7666\n",
            "Epoch: 199/200-Batch\\h: 896/938--D.loss:0.3751,G.loss:1.4855\n",
            "Epoch: 199/200-Batch\\h: 897/938--D.loss:0.3234,G.loss:1.8223\n",
            "Epoch: 199/200-Batch\\h: 898/938--D.loss:0.3160,G.loss:1.7663\n",
            "Epoch: 199/200-Batch\\h: 899/938--D.loss:0.3664,G.loss:1.6448\n",
            "Epoch: 199/200-Batch\\h: 900/938--D.loss:0.4068,G.loss:1.5151\n",
            "Epoch: 199/200-Batch\\h: 901/938--D.loss:0.4250,G.loss:1.6697\n",
            "Epoch: 199/200-Batch\\h: 902/938--D.loss:0.2742,G.loss:1.7535\n",
            "Epoch: 199/200-Batch\\h: 903/938--D.loss:0.2893,G.loss:1.6252\n",
            "Epoch: 199/200-Batch\\h: 904/938--D.loss:0.3535,G.loss:1.6958\n",
            "Epoch: 199/200-Batch\\h: 905/938--D.loss:0.3531,G.loss:1.6355\n",
            "Epoch: 199/200-Batch\\h: 906/938--D.loss:0.3444,G.loss:2.1237\n",
            "Epoch: 199/200-Batch\\h: 907/938--D.loss:0.3470,G.loss:1.6075\n",
            "Epoch: 199/200-Batch\\h: 908/938--D.loss:0.3147,G.loss:1.9263\n",
            "Epoch: 199/200-Batch\\h: 909/938--D.loss:0.4000,G.loss:1.6763\n",
            "Epoch: 199/200-Batch\\h: 910/938--D.loss:0.4172,G.loss:1.7403\n",
            "Epoch: 199/200-Batch\\h: 911/938--D.loss:0.4032,G.loss:1.3065\n",
            "Epoch: 199/200-Batch\\h: 912/938--D.loss:0.3368,G.loss:1.4479\n",
            "Epoch: 199/200-Batch\\h: 913/938--D.loss:0.3273,G.loss:2.1880\n",
            "Epoch: 199/200-Batch\\h: 914/938--D.loss:0.3299,G.loss:1.9991\n",
            "Epoch: 199/200-Batch\\h: 915/938--D.loss:0.3474,G.loss:1.5685\n",
            "Epoch: 199/200-Batch\\h: 916/938--D.loss:0.3765,G.loss:1.5573\n",
            "Epoch: 199/200-Batch\\h: 917/938--D.loss:0.3170,G.loss:1.7097\n",
            "Epoch: 199/200-Batch\\h: 918/938--D.loss:0.3340,G.loss:1.7994\n",
            "Epoch: 199/200-Batch\\h: 919/938--D.loss:0.3818,G.loss:1.8836\n",
            "Epoch: 199/200-Batch\\h: 920/938--D.loss:0.3109,G.loss:1.6229\n",
            "Epoch: 199/200-Batch\\h: 921/938--D.loss:0.3528,G.loss:1.8876\n",
            "Epoch: 199/200-Batch\\h: 922/938--D.loss:0.4184,G.loss:1.6795\n",
            "Epoch: 199/200-Batch\\h: 923/938--D.loss:0.4387,G.loss:1.3996\n",
            "Epoch: 199/200-Batch\\h: 924/938--D.loss:0.3226,G.loss:1.9073\n",
            "Epoch: 199/200-Batch\\h: 925/938--D.loss:0.3595,G.loss:1.7382\n",
            "Epoch: 199/200-Batch\\h: 926/938--D.loss:0.3663,G.loss:1.8818\n",
            "Epoch: 199/200-Batch\\h: 927/938--D.loss:0.3452,G.loss:1.7350\n",
            "Epoch: 199/200-Batch\\h: 928/938--D.loss:0.3570,G.loss:1.4099\n",
            "Epoch: 199/200-Batch\\h: 929/938--D.loss:0.3531,G.loss:1.5168\n",
            "Epoch: 199/200-Batch\\h: 930/938--D.loss:0.3804,G.loss:2.1790\n",
            "Epoch: 199/200-Batch\\h: 931/938--D.loss:0.3160,G.loss:1.6610\n",
            "Epoch: 199/200-Batch\\h: 932/938--D.loss:0.4571,G.loss:1.5051\n",
            "Epoch: 199/200-Batch\\h: 933/938--D.loss:0.3880,G.loss:1.1836\n",
            "Epoch: 199/200-Batch\\h: 934/938--D.loss:0.3828,G.loss:1.6548\n",
            "Epoch: 199/200-Batch\\h: 935/938--D.loss:0.3436,G.loss:1.6664\n",
            "Epoch: 199/200-Batch\\h: 936/938--D.loss:0.4369,G.loss:1.7013\n",
            "Epoch: 199/200-Batch\\h: 937/938--D.loss:0.4207,G.loss:1.5311\n"
          ]
        }
      ],
      "source": [
        "for epoch in range(N_EPOCHS):\n",
        "    for i, (imgs, _) in enumerate(dataloader):\n",
        "\n",
        "        # Set Real and Fake Labels\n",
        "        valid = Variable(Tensor(imgs.size(0), 1).fill_(1.0), requires_grad=False)\n",
        "        fake = Variable(Tensor(imgs.size(0), 1).fill_(0.0), requires_grad=False)\n",
        "\n",
        "        # Set Variable for real images\n",
        "        real_imgs = Variable(imgs.type(Tensor))\n",
        "\n",
        "        #  Train Generator\n",
        "        optimizer_G.zero_grad()\n",
        "\n",
        "        # Sample noise vector z for generator\n",
        "        z = Variable(Tensor(np.random.normal(0, 1, (imgs.shape[0], Z_DIM))))\n",
        "\n",
        "        # get generator output\n",
        "        gen_imgs = generator(z)\n",
        "\n",
        "        # Calculate and update generator loss\n",
        "        g_loss = adversarial_loss(discriminator(gen_imgs), valid)\n",
        "        g_loss.backward()\n",
        "        optimizer_G.step()\n",
        "\n",
        "        #  Train Discriminator\n",
        "        optimizer_D.zero_grad()\n",
        "\n",
        "        # Calculate Discriminator loss over Fake and Real Samples\n",
        "        real_loss = adversarial_loss(discriminator(real_imgs), valid)\n",
        "        fake_loss = adversarial_loss(discriminator(gen_imgs.detach()), fake)\n",
        "        d_loss = (real_loss + fake_loss) / 2\n",
        "\n",
        "        # Update Discriminator loss\n",
        "        d_loss.backward()\n",
        "        optimizer_D.step()\n",
        "        print(f'Epoch: {epoch}/{N_EPOCHS}-Batch: {i}/{len(dataloader)}--D.loss:{d_loss.item():.4f},G.loss:{g_loss.item():.4f}')\n",
        "\n",
        "        batches_done = epoch * len(dataloader) + i\n",
        "        if batches_done % SAMPLE_INTERVAL == 0:\n",
        "            save_image(gen_imgs.data[:25], f\"images/{batches_done}.png\"  , nrow=5, normalize=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "3LG-afSZbF_m"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}